SohailGidwani
I build AI systems that actually work in production, not just in notebooks. Full-stack engineering meets applied machine learning.
Open to full-time roles · Graduating May 2027 · Relocate / Hybrid / Remote
Experience
Industry, research, and product execution.
Research Assistant
ActiveKeck School of Medicine of USC
Building MEMOIR-VLM, a multimodal deep learning pipeline for Alzheimer's disease classification and VQA using neuroimaging and clinical data, with end-to-end experimentation infrastructure across ~70M parameter models.
Senior Software Engineer - I
Insaito, Inc.
Built core infrastructure and product surfaces for an AI agent builder, spanning open-source model deployment, third-party authentication, MCP tools, backend services, and frontend workflows.
Full Stack - Software Developer
IIFL Finance Ltd
Built internal employee support chatbot, AI-powered fraud detection, and automated user support systems across multiple business verticals.
Projects
Things I've built that I'm proud of.
Portage
An autonomous agent that migrates Flask apps to FastAPI and proves it with the repo's own tests.
6 pinned repositories · K=3 evaluation grid · checkpoint-resume recovery
LangGraph agent that plans a per-file task DAG, rewrites each file with an LLM, verifies in a network-off Docker sandbox, and recovers from failures under bounded budgets. Checkpointed to Postgres, so you can kill the worker mid-run and it resumes. Evaluated on 6 pinned repositories at K=3.
Knowledge Hub
Upload notes, search them semantically, ask questions with RAG.
Local-first OCR · hybrid retrieval · cited RAG answers
CoT Faithfulness Analysis
Do LLMs actually use their chain-of-thought, or is it just decoration?
~15,000 deterministic queries · 500 benchmark samples · 4 experiments
Image Captioning
Give it an image, get a caption using CNN features and learned sequence decoders.
Compared LSTM and Transformer decoders in an end-to-end Streamlit pipeline
Tech Updates
Scrapes tech news, an LLM sorts it, Qdrant makes it searchable.
Multi-source ingestion · LLM categorization · Qdrant semantic search
Education
Structured learning, layered over curiosity.
August 2025 - May 2027
Los Angeles, CA, USA
GPA - 3.75 / 4.0
M.S in Computer Science
University of Southern California
Advanced studies in AI systems, retrieval, and large-scale software engineering.
Coursework
Aug 2019 - May 2023
Mumbai, India
CGPA - 9.05 / 10
B.E in Computer Engineering
University of Mumbai - TSEC
Focus on AI/ML, cloud computing, and full-stack development with strong academic performance.
Coursework
Skills
Organized by what you'd hire me to do.
- 01
Pythonlanguage - 02
HuggingFaceembeddings - 03
Qdrantretrieval - 04
Azurellm service - 05
Flaskapi - 06
SQLAlchemyorm - 07
Rediscaching - 08
Dockership
Full index
ML / AI / PyTorch · TensorFlow · Scikit-learn · Keras · OpenCV · NLTK · HuggingFace · Ollama · spaCy · Pandas · NumPy · Matplotlib · Seaborn · MCP · LLMOps
Languages / Python · JavaScript · TypeScript · Java · C++ · SQL
Web / React · Node.js · Express · Next.js · Django · Flask · Hono · FastAPI · Tailwind CSS · WebRTC · HTML5 · CSS3
Databases / PostgreSQL · MongoDB · Redis · Elasticsearch · MySQL · Qdrant · Oracle · Prisma · SQLAlchemy
Cloud / AWS · Google Cloud · Azure · Heroku · CloudFlare
Tools / Git · Claude Code · N8N · Docker · Kubernetes · CI/CD · Agile · RESTful APIs · Linux · Bitbucket · TFS · Serverless
About
Building AI systems that work in production, not just in demos.
I'm an AI/ML engineer who likes owning the whole path from an uncertain idea to a system people can inspect and use. My work spans agentic tooling, multimodal research, retrieval systems, and the product surfaces around them.
I'm currently pursuing an M.S. in Computer Science at USC while working on medical-AI research at Keck. Before that, I shipped internal AI products at IIFL and helped build an agent platform at Insaito.
Wins
Certifications and wins that shaped my journey.
Let's workTogether.
Looking for full-time roles, research collaborations, or interesting side projects. Based in Los Angeles, open to remote and on-site.