AI engineer · RAG pipelines, LLM agents and full-stack Next.js apps · Hyderabad, India
I'm a 2026 B.Tech Computer Science graduate. I've shipped generative-AI and full-stack features in production: the RAG data pipeline behind a GST-compliance platform, and customer-facing features for an AI content-monetization SaaS. I like taking a rough idea and turning it into something people can use, and I'm open to full-time roles and freelance AI chatbot/RAG work.
| Project | What it is | Stack |
|---|---|---|
| AI-multi-code-agent | Autonomous coding agent: Gemini plans and writes whole projects through a tool-calling loop (think → act → observe), and a second Codestral agent reviews the output. Streams progress to a web UI over SSE. | Node.js, Express, Gemini, Mistral, PostgreSQL |
| MedBrain-0.5B | 0.5B-parameter medical language model I fine-tuned (LoRA, JAX/Flax) and published on Hugging Face. Includes an inference script and a minimal ChromaDB RAG example. | JAX/Flax, PyTorch, Transformers |
| PocketClaw | My B.Tech major project: Android AI chat app that runs in the cloud (NVIDIA NIM) or fully offline with on-device GGUF models via llama.rn, with web-search tool calls. | React Native, Expo, TypeScript, llama.rn |
| COREP Reporting Assistant | RAG prototype that fills a banking regulatory template (PRA COREP C 01.00) with values, reasoning and citations; Pydantic-schema output plus arithmetic validation and Excel export. | Python, Gemini, embeddings, Pydantic, Streamlit |
| Time-Travel Evals | Hackathon project: evaluates AI agents across perturbed "alternate timelines" (crashes, latency spikes) and scores robustness and recovery, with a Streamlit trace viewer. | Python, OpenAI-compatible APIs, Streamlit |
| Two-stage Recommender | Two-tower retrieval + FAISS + wide-and-deep ranker on MovieLens 100K behind FastAPI, with measured Recall/NDCG against a popularity baseline. | TensorFlow, PyTorch, FAISS, FastAPI |
huggingface.co/suhailult777/MedBrain-0.5B: a 0.5B medical LLM that gives structured answers for triage, clinical handoffs and patient education.
- LoRA (rank 16) fine-tune on
medical-instruction-100k, trained in JAX/Flax and exported to PyTorch. - 5,800+ downloads.
- Research artifact only; not for clinical use.
AI Developer Intern, ApexAgiSolutions (Apr 2026 – present)
- Building the data and RAG pipeline behind TaxApex, a GST-compliance platform.
- Invoices and ledger records go into PostgreSQL, then get cleaned, chunked, embedded and indexed so the assistant answers grounded in source records.
- Built the REST APIs for the chartered-accountant dashboard: GSTR-2B reconciliation, ITC gap analysis, and GSTIN and HSN validation.
Full-Stack Developer, PayPerCrawl (Sep 2025 – Apr 2026)
- Shipped production features for an AI content-monetization SaaS in Next.js, React, TypeScript and Tailwind.
- Built REST APIs, auth flows and database integrations, and debugged live issues from logs back to the failing request.
- AI / ML: Python, LangChain, Hugging Face Transformers, PyTorch, JAX/Flax, OpenAI and Gemini APIs, RAG, embeddings, ChromaDB, Pinecone
- Backend: Node.js, Express, REST APIs, PostgreSQL (Neon), MongoDB, Drizzle, SQL
- Frontend: React, Next.js, TypeScript, Tailwind CSS, React Native (Expo)
- Tools: Git, Vercel, Streamlit, FastAPI
- Email: suhailult123@gmail.com
- GitHub: github.com/suhailult777
- Hugging Face: huggingface.co/suhailult777



