I'm a Computer Engineering student and AI/ML developer with hands-on experience in LLM evaluation, backend development, and applied machine learning. I currently work as an AI Support & Evaluation Intern at Air Dawg Labs, testing and evaluating Large Language Model outputs for quality, reliability, and correctness — comfortable reviewing technical/coding responses, spotting reasoning errors, and giving clear, structured feedback. I build end-to-end AI and backend systems using Python, FastAPI, and LLM APIs — including an LLM-powered repository documentation tool (RAG-based), an AI-driven candidate-matching platform, and a planner-executor task automation system. I also have a solid foundation in machine learning (Scikit-learn, TensorFlow, PyTorch ), data structures & algorithms, and API integration. I'm reliable, detail-oriented, and comfortable working through ambiguous or imperfect data to reach a clear, well-reasoned conclusion — available for freelance/contract work in AI evaluation, backend development, or Python/ML tasks.…

Rohit Jadhav

I'm a Computer Engineering student and AI/ML developer with hands-on experience in LLM evaluation, backend development, and applied machine learning. I currently work as an AI Support & Evaluation Intern at Air Dawg Labs, testing and evaluating Large Language Model outputs for quality, reliability, and correctness — comfortable reviewing technical/coding responses, spotting reasoning errors, and giving clear, structured feedback. I build end-to-end AI and backend systems using Python, FastAPI, and LLM APIs — including an LLM-powered repository documentation tool (RAG-based), an AI-driven candidate-matching platform, and a planner-executor task automation system. I also have a solid foundation in machine learning (Scikit-learn, TensorFlow, PyTorch ), data structures & algorithms, and API integration. I'm reliable, detail-oriented, and comfortable working through ambiguous or imperfect data to reach a clear, well-reasoned conclusion — available for freelance/contract work in AI evaluation, backend development, or Python/ML tasks.…

Available to hire

I’m a Computer Engineering student and AI/ML developer with hands-on experience in LLM evaluation, backend development, and applied machine learning. I currently work as an AI Support & Evaluation Intern at Air Dawg Labs, testing and evaluating Large Language Model outputs for quality, reliability, and correctness — comfortable reviewing technical/coding responses, spotting reasoning errors, and giving clear, structured feedback.

I build end-to-end AI and backend systems using Python, FastAPI, and LLM APIs — including an LLM-powered repository documentation tool (RAG-based), an AI-driven candidate-matching platform, and a planner-executor task automation system. I also have a solid foundation in machine learning (Scikit-learn, TensorFlow, PyTorch ), data structures & algorithms, and API integration.

I’m reliable, detail-oriented, and comfortable working through ambiguous or imperfect data to reach a clear, well-reasoned conclusion — available for freelance/contract work in AI evaluation, backend development, or Python/ML tasks.

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Skills

Experience Level

Python
Expert
API
Expert
Prompt Engineering
Expert
Github
Expert
Large Language Model
Expert
React JS
Expert
GPT
Expert
JavaScript
Expert
SQL
Intermediate
MySQL
Intermediate
Tailwind
Intermediate
PostgreSQL
Intermediate
AI Data Labelling
Intermediate
Data Science
Intermediate
n8n
Intermediate
Docker
Intermediate
PyTorch
Intermediate
C++
Intermediate
TensorFlow
Intermediate
Redis
Intermediate
Node.js
Intermediate
MongoDB
Intermediate
R
Intermediate
Django
Intermediate
AWS
Intermediate
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Work Experience

AI Support & Evaluation Intern at AirDawg Labs
August 1, 2026 - Present
Support testing and evaluation workflows for Large Language Model systems by verifying output quality and reliability. Manage operational processes and build internal tools for AI system evaluation. Monitor and troubleshoot system behavior while documenting issues, findings, and quality observations for the team.
AI/ML Intern at IPLAIRANI
April 1, 2026 - July 1, 2026
Built and tested AI-driven workflows and backend automation features using Python and REST APIs. Integrated third-party APIs and implemented backend logic for AI-powered application features. Collaborated with the team on debugging, testing, and iterative feature development.

Education

Bachelor of Engineering in Computer Engineering at Indira College of Engineering & Management
September 1, 2023 - June 1, 2027
Higher Secondary Certificate at Janata Junior College
June 1, 2021 - June 1, 2023

Qualifications

Google Data Analytics Professional Certificate
January 1, 2025 - September 4, 2026
IBM Data Science Professional Certificate
January 11, 2030 - September 4, 2026
Cisco Cybersecurity Certification
January 11, 2030 - September 4, 2026

Industry Experience

Software & Internet, Computers & Electronics, Education, Professional Services
    Hirezy — AI-Assisted Recruitment Platform

    ● Built a full-stack platform (React, FastAPI) connecting recruiters and student applicants with resume-to-job matching.
    ● Implemented a weighted scoring model combining semantic similarity, skill overlap, and experience/education match.
    ● Designed backend workflows for job posting, candidate ranking, and application status tracking.

    Yukti AI — Repository Analysis & Documentation Assistant

    Built a tool that parses a GitHub repository and generates architecture summaries and documentation using an LLM API.
    Implemented a React + FastAPI architecture with a responsive UI for repository-aware Q&A

    Demo : https://www.twine.net/signin

    SoulMeet – Premium AI-Powered Social Wellness Platform

    Designed and developed a high-fidelity web prototype for a premium social wellness platform focused on meaningful human connection and personalized experiences.

    The project involved creating and implementing multiple product variations to explore different levels of AI integration and user interaction while maintaining a refined, premium visual experience.

    Key contributions:

    Designed a premium, responsive web experience with a strong focus on UX and visual consistency.
    Developed reusable React/TypeScript components and responsive layouts.
    Created multiple prototype variations exploring AI-assisted experiences and enhanced interactivity.
    Implemented dashboards, onboarding flows, user journeys, recommendations, wellness insights, scheduling, and interactive UI components.
    Integrated modern micro-interactions, transitions, animations, and responsive behavior.
    Deployed production-ready prototypes using Vercel.
    Structured the project for maintainability and future feature expansion.
    Demo: https://www.twine.net/signin

    Note: Client project — specific product details and visuals are confidential under NDA.

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