Open to opportunities

Shivam Taware

@shivamtaware

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AI-focused full-stack developer building generative-AI web applications.

India

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What I'm looking for

I am looking for a role building generative-AI web applications where I can design end-to-end systems, work with vector DBs, fine-tune models, and collaborate in a product-focused, growth-oriented team.

I am an AI-focused full-stack developer specializing in generative-AI web applications, combining React.js frontends with FastAPI backends and LangChain-powered intelligent features.

I have built RAG-based document chatbots using vector databases (Qdrant/Milvus), engineered SQL-integrated chat solutions to fetch and summarize database information, and developed AI-powered report analyzers for HR documents.

My projects include LoRA fine-tuned models for domain-specific assistants, a transcript and subtitle generator using Whisper, and full-stack applications integrating MySQL, MongoDB, and responsive React interfaces.

I collaborate closely with teams to review code, document workflows, and containerize applications, focusing on delivering user-centric AI solutions that drive measurable results.

Experience

Work history, roles, and key accomplishments

Current

AI Integration Engineer

Current

Maharashtra Knowledge Corporation Limited

Feb 2024 - Present (2 years 4 months)

Developed AI-driven full-stack web projects including RAG-based document chatbots and multilingual transcript generators, improving context-aware responses and automating HR report analysis. Engineered SQL-integrated chat solutions and deployed FastAPI + vector DB systems for scalable semantic search.

fastAPI Qdrant MySQL Vector Databases Whisper LoRA Docker LoRAs

Education

Degrees, certifications, and relevant coursework

Jain University

Master of Computer Applications, Computer Applications

2021 - 2023

Activities and societies: Implemented Whisper-based transcription, translation APIs, and LoRA fine-tuning for MS Office and creative software assistants.

Completed an MCA program with projects in multilingual transcription, subtitle generation, and fine-tuning LoRA models for domain-specific assistants.