I build software with solid foundations
I build software with solid foundations
DevOps & MLOps engineer who designs what he ships.
1,866 contributions on my GitHub graph 🟩, green all year, until 3 AM today, when the whole thing turned orange 🟧
When you run production systems, green turning orange is how a bad night starts 😬 So I checked the monitoring 📊, then went through the logs 🔍, looking for whatever had failed.
Nothing had. Under the graph, GitHub had written "Happy Halloween!" 🎃
Happy Halloween, everyone 👻 What's your best 3 AM false alarm? 👇
🔗 github.com/Aswin-Shine
#Halloween #DevOps #GitHub #MotionDesign
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AI-first full-stack engineer for founders who ship
AI-first full-stack engineer for founders who ship
AI Engineer | RAG, AI Agents & Next.js AI SaaS MVPs
sensei: AI code review that learns your team's style.
An open-source CLI (on PyPI) I built that learns how your team reviews code and posts inline, confidence-routed comments on GitLab merge requests: high-confidence issues get flagged, low-confidence ones stay quiet. Paired with mr-principle-review-agent (npm), which enforces team-specific coding principles on every MR. Together they save ~5 hours/week of manual review.
Stack: Python, LLM APIs, GitLab CI, agentic workflows.
Code: github.com/pulkit004/sensei
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rag-foundation-stone — Enterprise RAG architecture with zero-hallucination retrieval and cloud-agnostic adapters, built in TypeScript.
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WeaveAI Anchor: answers grounded in your own documents.
A document-grounded retrieval and Q&A product I built at WeaveAI. It answers only from approved documents, cites the source for every answer, and refuses when it isn't sure instead of hallucinating. Built for internal docs assistants, support knowledge copilots and product documentation search.
Stack: RAG, vector DB, retrieval evals, Next.js, LLM APIs.
Try it: weaveai.dev/products/anchor
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Enterprise RAG: support resolution from days to minutes.
I architected an end-to-end RAG pipeline over a large internal document base so solutions and merchant-facing teams get contextual answers instantly. Paired with an AI insights engine that generates automated analytics summaries, change detection and risk flags, replacing manual analyst reporting cycles.
Impact: serves teams supporting 3,000+ merchants; resolution time cut from days to minutes.
Stack: RAG, LangChain, AWS Bedrock, vector DB, React, Node.js.
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Full-Stack Developer building AI Agents & RAG Systems
FinSense - AI-Powered NPA Prevention Platform for Banking
AI-powered, post-disbursement loan health monitoring system built for SBI-scale banking use cases. Continuously monitors borrower financial behavior after loan disbursement, scores risk on a 0–100 scale across 4 tiers using XGBoost with SHAP-based explainability, and deploys a conversational AI agent to proactively engage at-risk borrowers 60–90 days before default — instead of only scoring creditworthiness at application time like traditional systems.
Built the FastAPI backend (loan, risk, agent, and dashboard routers), automated risk re-scoring via Celery + Redis, and real-time dashboard updates via WebSockets, with a React + Tailwind frontend for officer-facing risk visualization.
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SENTINEL - Edge AI Driver Assistance System
Backend Lead for an edge AI ADAS (driver assistance) system built for Indian road conditions. Multi-stage ML pipeline covering sensor fusion, scene classification, risk scoring, GradCAM/XAI explainability, and federated learning. Built the backend and deployment pipeline, integrating ONNX and PyTorch runtimes to serve model inference in production.
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Financial Decision Intelligence Platform — Multi-Agent Risk Analysis
Multi-agent platform (LangGraph) that ingests SEC 10-K filings via XBRL extraction, runs Altman Z-Score and Piotroski F-Score risk models, and generates investment committee reports. Pipeline includes RAG-based risk retrieval (FAISS + Sentence Transformers), XGBoost ML inference, and Gemini API report generation — served through a FastAPI backend with /analyze, /compare, and /report endpoints for multi-company investment ranking.
Stack: Python, LangChain, LangGraph, FAISS, XGBoost, FastAPI
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RepoSphere - GitHub-Inspired Version Control Platform
Full-stack, GitHub-inspired platform with JWT authentication, repository management, issue tracking, and real-time search. Built a RESTful API with user dashboards, and reduced code redundancy by 35% through modular architecture. Deployed on AWS Amplify.
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Agile Fullstack Engineer
Agile Fullstack Engineer
Helping startups ship fast with React, Node & AI from idea
Make teaching easier—and more impactful—with a content platform designed for educators.
This app helps teachers, counselors, and school staff quickly find the right video content for their students using smart filters by topic, grade, maturity level, engagement rating, and more. Whether you're planning a full lesson or responding to a teachable moment, everything you need is just a few taps away.
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The idea for our app started at a kitchen table, during a heartfelt conversation about the challenges clubs face in finding reliable managers. It was clear that there had to be a better way to connect clubs with the right talent. From these humble beginnings, the concept of our app was born—a dedicated platform designed to simplify and streamline the process of club management. By bridging the gap between clubs and managers, our app aims to make it easier for clubs to thrive and for managers to find the opportunities they deserve.
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