Harsh Dinde | Python & React Full-Stack Engineer Delivering high-performance, containerized web applications using Python, modern JavaScript frameworks, and Docker. I specialize in building robust backends and dynamic frontends. I am a Software Engineer focused on the complete development lifecycle, from robust backend architecture to seamless user experiences. My expertise is in building scalable web solutions, with a proven ability to deliver complex technical projects. My Core Technical Stack: * Backend Expertise: Strong proficiency in Python, leveraging it to build scalable backends. Experienced in API design, SQL, and efficient Database Design. * Frontend Development: Skilled in creating modern, interactive user interfaces using React.js for a smooth user experience. * Deployment & Scaling: Proficient with Docker for containerization, ensuring applications are portable, efficient, and ready for deployment on any cloud platform. High-Value Differentiator: Generative AI & ML Integration I am uniquely positioned to integrate cutting-edge Generative AI and Machine Learning into your applications, offering capabilities like: * Building high-relevance RAG (Retrieval-Augmented Generation) systems. * Developing AI Agentic Workflows using AutoGen and TaskWeaver. * Advanced semantic search using tools like ElasticSearch and FAISS. I provide the versatility of a full-stack developer with the advanced skillset of an AI engineer, ready to turn your complex requirements into a working solution.…

Harsh Dinde

Harsh Dinde | Python & React Full-Stack Engineer Delivering high-performance, containerized web applications using Python, modern JavaScript frameworks, and Docker. I specialize in building robust backends and dynamic frontends. I am a Software Engineer focused on the complete development lifecycle, from robust backend architecture to seamless user experiences. My expertise is in building scalable web solutions, with a proven ability to deliver complex technical projects. My Core Technical Stack: * Backend Expertise: Strong proficiency in Python, leveraging it to build scalable backends. Experienced in API design, SQL, and efficient Database Design. * Frontend Development: Skilled in creating modern, interactive user interfaces using React.js for a smooth user experience. * Deployment & Scaling: Proficient with Docker for containerization, ensuring applications are portable, efficient, and ready for deployment on any cloud platform. High-Value Differentiator: Generative AI & ML Integration I am uniquely positioned to integrate cutting-edge Generative AI and Machine Learning into your applications, offering capabilities like: * Building high-relevance RAG (Retrieval-Augmented Generation) systems. * Developing AI Agentic Workflows using AutoGen and TaskWeaver. * Advanced semantic search using tools like ElasticSearch and FAISS. I provide the versatility of a full-stack developer with the advanced skillset of an AI engineer, ready to turn your complex requirements into a working solution.…

Available to hire

Harsh Dinde | Python & React Full-Stack Engineer
Delivering high-performance, containerized web applications using Python, modern JavaScript frameworks, and Docker. I specialize in building robust backends and dynamic frontends.
I am a Software Engineer focused on the complete development lifecycle, from robust backend architecture to seamless user experiences. My expertise is in building scalable web solutions, with a proven ability to deliver complex technical projects.
My Core Technical Stack:

  • Backend Expertise: Strong proficiency in Python, leveraging it to build scalable backends. Experienced in API design, SQL, and efficient Database Design.
  • Frontend Development: Skilled in creating modern, interactive user interfaces using React.js for a smooth user experience.
  • Deployment & Scaling: Proficient with Docker for containerization, ensuring applications are portable, efficient, and ready for deployment on any cloud platform.
    High-Value Differentiator: Generative AI & ML Integration
    I am uniquely positioned to integrate cutting-edge Generative AI and Machine Learning into your applications, offering capabilities like:
  • Building high-relevance RAG (Retrieval-Augmented Generation) systems.
  • Developing AI Agentic Workflows using AutoGen and TaskWeaver.
  • Advanced semantic search using tools like ElasticSearch and FAISS.
    I provide the versatility of a full-stack developer with the advanced skillset of an AI engineer, ready to turn your complex requirements into a working solution.
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Language

Marathi (Marāṭhī)
Fluent
Hindi
Fluent
English
Advanced

Work Experience

Software Engineer/Trainee Software Engineer at Equations Work
January 1, 2024 - Present
Delivered 10+ AI POCs across NLP and multi-modal domains. Fine-tuned LLMs on custom data, boosting task accuracy by up to 80%. Built interactive React.js frontends to demo AI capabilities. Generated synthetic data to enhance model training and reduce overfitting. Created agentic workflows using Microsoft AutoGen and Task Weaver. Deployed RAG apps with OpenAI, Hugging Face, Ollama, and LMStudio, improving response relevance by 90%. Worked with vector DBs like ElasticSearch, PGVector, Azure AI Search, and FAISS for semantic search. Used LangChain, langgraph, llamaindex, and cerwai for intelligent workflow orchestration. Built multi-modal AI systems to speed up info retrieval and document processing. Designed scalable, cloud-based backends using Azure services. Integrated AI search via Azure AI Search to enhance data discovery. Used Docker to containerize and deploy apps efficiently. Exploring Model Context Protocol (MCP) for advanced agent collaboration.

Education

B.Tech. in Computer Science at Tatyasaheb Kore Institute of Engineering and Technology
January 11, 2030 - January 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Media & Entertainment
    paper Automatic Number Recognition System.

    Developed a ANPR system by implementing Convolutional Neural Networks (CNNs) and the YOLO (You
    Only Look Once) object detection model for real-time license plate localization and character recognition.
    Managed the full model development pipeline, including dataset gathering, image annotation, data
    augmentation, and model training processes, utilizing the Roboflow platform for efficient dataset
    management and versioning.
    Achieved 98% accuracy in real-time license plate recognition through rigorous model tuning and
    validation.
    Refined operational efficiency by optimizing the inference pipeline, resulting in a 30% reduction in
    processing time per image/frame.
    Delivered a pivotal solution with transformative impact, saving over $1.5 million annually through
    automation.