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 (1 year 8 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

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.