Artificial Intelligence Developer,workflow automation, custom Gen AI solutions,AI automation,Web developer,react,js…Artificial Intelligence Developer,workflow automation, custom Gen AI solutions,AI automation,Web developer,react,jsWWW…
Artificial Intelligence Developer,workflow automation, custom Gen AI solutions,AI automation,Web developer,react,js…Artificial Intelligence Developer,workflow automation, custom Gen AI solutions,AI automation,Web developer,react,jsWWWW…
Available to hire
Artificial Intelligence Developer,workflow automation, custom Gen AI solutions,AI automation,Web developer,react,js
Skills
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Experience Level
Python
Expert
Data Science
Expert
Simple Scraper
Intermediate
YouTube API
Intermediate
MongoDB
Intermediate
MySQL
Intermediate
UI
Intermediate
API
Intermediate
AI Data Labelling
Intermediate
Web Design
Intermediate
Email Marketing
Intermediate
HTML5
Intermediate
CSS
Intermediate
n8n
Intermediate
Data Visualization
Intermediate
LinkedIn
Intermediate
Language
English
Advanced
Malayalam
Fluent
Hindi
Intermediate
Tamil
Beginner
Education
Btech computer science at SNGIST
October 10, 2013 - January 5, 2017Qualifications
AI , data science course from luminar technolab
January 6, 2025 - January 6, 2025Industry Experience
Software & Internet, Education, Professional Services
Project Title: AI-Powered Resume Analyzer and Interview Assistance System
Overview:
I am developing an advanced AI-driven system designed to streamline recruitment processes by automating resume analysis, generating custom interview questions, and assisting in candidate evaluation. This ongoing project aims to reduce the dependency on technical interviewers by leveraging AI to handle both pre-interview and live interview tasks.
Key Features (Completed):
1️⃣ Automatic Resume Analyzer
Extracts key information from resumes, including skills, experience, and education.
Stores the extracted data in a vector database for efficient retrieval and search.
2️⃣ Custom Question Generation
Uses RAG (Retrieval-Augmented Generation) and research agents to generate tailored interview questions based on the candidate’s resume.
Ensures questions are relevant to the candidate's expertise and the job requirements.
3️⃣ Automated Email and Interview Scheduling
Sends personalized emails to candidates, including interview invitations and follow-ups.
Automates the scheduling of interviews, reducing manual effort for recruiters.
Work in Progress:
4️⃣ Interview Assistance Bot
Real-Time Answer Analysis: Evaluates candidates’ answers during interviews, analyzing technical accuracy, clarity, and depth.
Dynamic Question Generation: Generates follow-up questions based on the candidate’s responses, simulating the behavior of a technical interviewer.
AI-Powered Expertise: Utilizes advanced models with technical domain knowledge to create meaningful and challenging questions.
Technologies Used:
Programming Languages: Python
Frameworks & Tools: LangChain, LangGraph
AI Models: OpenAI, LLaMA
Database: Vector database (ChromaDB) for efficient data retrieval
Automation: Email scheduling and interview management tools
Analysis Tools: Whisper, Librosa, and domain-specific pre-trained models for candidate answer evaluation
Client Benefits:
Time Savings: Automates repetitive tasks like resume screening, question generation, and scheduling.
Improved Candidate Evaluation: Ensures consistency and fairness in interviews by standardizing the evaluation process.
Scalability: Handles large volumes of resumes and interviews, making it ideal for high-volume hiring.
Reduced Dependency: Minimizes the need for technical interviewers by providing AI-driven expertise.
Future Enhancements:
Expand the bot’s capabilities to include behavioral analysis, such as detecting confidence and communication skills.
Integrate video analysis for non-verbal cues using facial expression and emotion detection.
Provide detailed feedback reports for both candidates and recruiters post-interview.
This project demonstrates my ability to design and implement AI-powered solutions that revolutionize recruitment workflows, enhancing efficiency, accuracy, and scalability.…Overview:
I am developing an advanced AI-driven system designed to streamline recruitment processes by automating resume analysis, generating custom interview questions, and assisting in candidate evaluation. This ongoing project aims to reduce the dependency on technical interviewers by leveraging AI to handle both pre-interview and live interview tasks.
Key Features (Completed):
1️⃣ Automatic Resume Analyzer
Extracts key information from resumes, including skills, experience, and education.
Stores the extracted data in a vector database for efficient retrieval and search.
2️⃣ Custom Question Generation
Uses RAG (Retrieval-Augmented Generation) and research agents to generate tailored interview questions based on the candidate’s resume.
Ensures questions are relevant to the candidate's expertise and the job requirements.
3️⃣ Automated Email and Interview Scheduling
Sends personalized emails to candidates, including interview invitations and follow-ups.
Automates the scheduling of interviews, reducing manual effort for recruiters.
Work in Progress:
4️⃣ Interview Assistance Bot
Real-Time Answer Analysis: Evaluates candidates’ answers during interviews, analyzing technical accuracy, clarity, and depth.
Dynamic Question Generation: Generates follow-up questions based on the candidate’s responses, simulating the behavior of a technical interviewer.
AI-Powered Expertise: Utilizes advanced models with technical domain knowledge to create meaningful and challenging questions.
Technologies Used:
Programming Languages: Python
Frameworks & Tools: LangChain, LangGraph
AI Models: OpenAI, LLaMA
Database: Vector database (ChromaDB) for efficient data retrieval
Automation: Email scheduling and interview management tools
Analysis Tools: Whisper, Librosa, and domain-specific pre-trained models for candidate answer evaluation
Client Benefits:
Time Savings: Automates repetitive tasks like resume screening, question generation, and scheduling.
Improved Candidate Evaluation: Ensures consistency and fairness in interviews by standardizing the evaluation process.
Scalability: Handles large volumes of resumes and interviews, making it ideal for high-volume hiring.
Reduced Dependency: Minimizes the need for technical interviewers by providing AI-driven expertise.
Future Enhancements:
Expand the bot’s capabilities to include behavioral analysis, such as detecting confidence and communication skills.
Integrate video analysis for non-verbal cues using facial expression and emotion detection.
Provide detailed feedback reports for both candidates and recruiters post-interview.
This project demonstrates my ability to design and implement AI-powered solutions that revolutionize recruitment workflows, enhancing efficiency, accuracy, and scalability.WWWWWWWW…
Project Title: AI-Powered LinkedIn Post Generator for Automated Professional Content Creation
Overview:
I developed a custom AI-driven LinkedIn post generator for a client, designed to automate the process of creating and publishing engaging, research-backed content. This solution enables professionals and businesses to maintain a strong LinkedIn presence with minimal effort.
Key Features:
1️⃣ Automated Research Agent
Employs advanced research agents to gather relevant information from YouTube, web articles, and Wikipedia.
Consolidates the data into actionable insights, ensuring posts are well-informed and accurate.
2️⃣ AI-Driven Post Creation
Generates concise, impactful LinkedIn posts tailored to the client’s target audience and industry.
Focuses on trending topics and professional tone to maximize engagement.
3️⃣ Automated Posting
Integrates with the LinkedIn API to automatically publish posts.
Includes options for scheduling posts or providing drafts for review before publication.
Technologies Used:
Programming Languages: Python
Frameworks & Tools: LangChain, LangGraph
AI Models: OpenAI for content generation
Web Scraping & Research: Custom agents for extracting data from YouTube, web pages, and Wikipedia
Integration: LinkedIn API for direct posting
Client Benefits:
Time Efficiency: Eliminates the manual effort of researching, drafting, and publishing LinkedIn content.
Consistency: Ensures a regular flow of high-quality, professional posts to maintain an active LinkedIn presence.
Customization: Offers flexibility for post review and adjustments, aligning with the client’s unique branding and messaging.
This project highlights my ability to deliver tailored, AI-powered solutions that combine automation, web research, and content creation, providing measurable value to the client.…Overview:
I developed a custom AI-driven LinkedIn post generator for a client, designed to automate the process of creating and publishing engaging, research-backed content. This solution enables professionals and businesses to maintain a strong LinkedIn presence with minimal effort.
Key Features:
1️⃣ Automated Research Agent
Employs advanced research agents to gather relevant information from YouTube, web articles, and Wikipedia.
Consolidates the data into actionable insights, ensuring posts are well-informed and accurate.
2️⃣ AI-Driven Post Creation
Generates concise, impactful LinkedIn posts tailored to the client’s target audience and industry.
Focuses on trending topics and professional tone to maximize engagement.
3️⃣ Automated Posting
Integrates with the LinkedIn API to automatically publish posts.
Includes options for scheduling posts or providing drafts for review before publication.
Technologies Used:
Programming Languages: Python
Frameworks & Tools: LangChain, LangGraph
AI Models: OpenAI for content generation
Web Scraping & Research: Custom agents for extracting data from YouTube, web pages, and Wikipedia
Integration: LinkedIn API for direct posting
Client Benefits:
Time Efficiency: Eliminates the manual effort of researching, drafting, and publishing LinkedIn content.
Consistency: Ensures a regular flow of high-quality, professional posts to maintain an active LinkedIn presence.
Customization: Offers flexibility for post review and adjustments, aligning with the client’s unique branding and messaging.
This project highlights my ability to deliver tailored, AI-powered solutions that combine automation, web research, and content creation, providing measurable value to the client.WWWWWWWW…
job search assistant
Overview:
I developed an innovative AI-driven application designed to revolutionize the job search process for candidates. This cutting-edge tool empowers job seekers with personalized insights, actionable recommendations, and advanced research capabilities, helping them land their dream roles effortlessly.
Key Features:
1️⃣ Resume Optimization
Ensures resumes meet ATS (Applicant Tracking System) standards for seamless automated screening.
Highlights key areas to improve visibility and relevance to recruiters.
2️⃣ Smart Job Matching
Uses the Google Job Search API to find the best-fit opportunities tailored to the candidate's profile.
Future plans include integrating additional APIs for expanded job search capabilities.
3️⃣ Project Recommendations
Analyzes candidates' portfolios to highlight impactful projects that align perfectly with job descriptions.
Boosts relevance and appeal by emphasizing the most pertinent experiences.
4️⃣ Skill Gap Analysis
Identifies skills and knowledge areas to develop for targeted roles.
Provides actionable insights to help candidates stay competitive in the job market.
5️⃣ Learning & Research Simplified
Leverages RAG (Retrieval-Augmented Generation) and LangGraph agents for in-depth web research on required skills and topics.
Converts insights into audio format using Facebook TTS, enabling on-the-go learning.
Technical Highlights:
Open-Source & Proprietary AI Models:
Also planning on adding a mock interview bot that conducts interview and analyse the video and audio data
Ollama: Handles local summarization tasks for efficient processing.
OpenAI: Delivers high-quality, context-aware responses for advanced capabilities.
Advanced NLP Techniques:
Extracts precise details from resumes and projects, enhancing candidate profiles.
LangChain Tools & LangGraph Agents:
Conducts comprehensive web research to provide actionable insights.
ChromaDB:…Overview:
I developed an innovative AI-driven application designed to revolutionize the job search process for candidates. This cutting-edge tool empowers job seekers with personalized insights, actionable recommendations, and advanced research capabilities, helping them land their dream roles effortlessly.
Key Features:
1️⃣ Resume Optimization
Ensures resumes meet ATS (Applicant Tracking System) standards for seamless automated screening.
Highlights key areas to improve visibility and relevance to recruiters.
2️⃣ Smart Job Matching
Uses the Google Job Search API to find the best-fit opportunities tailored to the candidate's profile.
Future plans include integrating additional APIs for expanded job search capabilities.
3️⃣ Project Recommendations
Analyzes candidates' portfolios to highlight impactful projects that align perfectly with job descriptions.
Boosts relevance and appeal by emphasizing the most pertinent experiences.
4️⃣ Skill Gap Analysis
Identifies skills and knowledge areas to develop for targeted roles.
Provides actionable insights to help candidates stay competitive in the job market.
5️⃣ Learning & Research Simplified
Leverages RAG (Retrieval-Augmented Generation) and LangGraph agents for in-depth web research on required skills and topics.
Converts insights into audio format using Facebook TTS, enabling on-the-go learning.
Technical Highlights:
Open-Source & Proprietary AI Models:
Also planning on adding a mock interview bot that conducts interview and analyse the video and audio data
Ollama: Handles local summarization tasks for efficient processing.
OpenAI: Delivers high-quality, context-aware responses for advanced capabilities.
Advanced NLP Techniques:
Extracts precise details from resumes and projects, enhancing candidate profiles.
LangChain Tools & LangGraph Agents:
Conducts comprehensive web research to provide actionable insights.
ChromaDB:WWWWWWWW…
Chat with data
I developed a versatile data-processing application that accepts and processes diverse input formats, including PDFs, Excel files, YouTube links, and websites. The application extracts relevant information from these sources and powers an intelligent AI-driven chatbot capable of answering user queries effectively.
Key Features:
Multi-Format Data Extraction: Seamlessly processes and extracts data from documents, spreadsheets, web pages, and video content.
AI-Powered Chatbot: Utilizes extracted data to create a dynamic chatbot that delivers precise and context-aware responses.
Advanced AI Frameworks: Built using LangChain for orchestration, Python for backend logic, and LLMs like OpenAI and LLaMA to ensure robust conversational capabilities.
This project showcases my expertise in leveraging cutting-edge AI technologies and frameworks to build intelligent, adaptable, and user-friendly solutions for complex data interaction and analysis.…I developed a versatile data-processing application that accepts and processes diverse input formats, including PDFs, Excel files, YouTube links, and websites. The application extracts relevant information from these sources and powers an intelligent AI-driven chatbot capable of answering user queries effectively.
Key Features:
Multi-Format Data Extraction: Seamlessly processes and extracts data from documents, spreadsheets, web pages, and video content.
AI-Powered Chatbot: Utilizes extracted data to create a dynamic chatbot that delivers precise and context-aware responses.
Advanced AI Frameworks: Built using LangChain for orchestration, Python for backend logic, and LLMs like OpenAI and LLaMA to ensure robust conversational capabilities.
This project showcases my expertise in leveraging cutting-edge AI technologies and frameworks to build intelligent, adaptable, and user-friendly solutions for complex data interaction and analysis.WWWWWWWW…
Invoice manager
I developed an advanced invoice management and analysis system designed to streamline data extraction, validation, and interaction. The project involves the following key functionalities:
Invoice Data Extraction: Automatically processes invoices from multiple folders, extracting relevant data fields with precision.
Data Validation: Identifies missing or mismatched data in the invoices, ensuring accuracy and completeness.
Data Storage: Saves the validated invoice data into a structured MySQL database for easy access and management.
Interactive Chatbot: Built an AI-powered chatbot that interacts with the stored invoice data, providing real-time insights, analysis, and answers to user queries.
The project was implemented using Python for backend logic, MySQL for database management, and OpenAI's language models to power the chatbot's conversational capabilities. This solution showcases my ability to integrate AI, database systems, and automation to create efficient, user-friendly tools for data-driven decision-making.…I developed an advanced invoice management and analysis system designed to streamline data extraction, validation, and interaction. The project involves the following key functionalities:
Invoice Data Extraction: Automatically processes invoices from multiple folders, extracting relevant data fields with precision.
Data Validation: Identifies missing or mismatched data in the invoices, ensuring accuracy and completeness.
Data Storage: Saves the validated invoice data into a structured MySQL database for easy access and management.
Interactive Chatbot: Built an AI-powered chatbot that interacts with the stored invoice data, providing real-time insights, analysis, and answers to user queries.
The project was implemented using Python for backend logic, MySQL for database management, and OpenAI's language models to power the chatbot's conversational capabilities. This solution showcases my ability to integrate AI, database systems, and automation to create efficient, user-friendly tools for data-driven decision-making.WWWWWWWW…
AI researcher
I successfully delivered a comprehensive portfolio project for a client that involved in-depth research on a specific topic across multiple platforms, including the web, YouTube, and Wikipedia. Leveraging the LangGraph agent framework, I integrated both open-source and proprietary LLMs such as ChatGPT, LLaMA, and Gemma to create a robust solution.
The project focused on synthesizing detailed, well-structured notes by consolidating information from diverse sources, ensuring exceptional clarity, accuracy, and depth. To enhance usability and scalability, I implemented the solution as a Flask API, deployed via Docker for seamless integration and deployment.
This project highlights my expertise in combining advanced AI frameworks with practical tools to gather, analyze, and present information effectively, delivering a tailored, high-value resource for the client.…I successfully delivered a comprehensive portfolio project for a client that involved in-depth research on a specific topic across multiple platforms, including the web, YouTube, and Wikipedia. Leveraging the LangGraph agent framework, I integrated both open-source and proprietary LLMs such as ChatGPT, LLaMA, and Gemma to create a robust solution.
The project focused on synthesizing detailed, well-structured notes by consolidating information from diverse sources, ensuring exceptional clarity, accuracy, and depth. To enhance usability and scalability, I implemented the solution as a Flask API, deployed via Docker for seamless integration and deployment.
This project highlights my expertise in combining advanced AI frameworks with practical tools to gather, analyze, and present information effectively, delivering a tailored, high-value resource for the client.WWWWWWWW…
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