Ishaan Goswami
B.Tech CSE @ PDEU | B.S. DS @ IIT Madras
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I am an engineer who loves building, breaking, and shipping things.
- •Currently interning at LawBot Express, shipping AI features and security hardening across Next.js 15.
- •Shipped Cortex (LLM orchestration on K8s), Pitlane Live (F1 analytics), and two ML/RAG systems.
- •GATE 2026 Qualified, LeetCode Knight.
Experiences
15+
Routes Audited
13
Dashboard Panels
6
Findings Surfaced
2,190
Log Entries Analyzed
- •Security Audit: Audited 15+ API routes in production, identified and patched an unbounded 500KB payload write to PostgreSQL and a clickjacking exposure on auth pages; deployed Zod schema validation, request-size enforcement, and HTTP security headers via Next.js middleware
- •AI Working Plan: Designed and shipped an AI-driven research planning feature end-to-end using AI SDK v5 streaming tools, Drizzle ORM schema with SQL migration, a 3-endpoint REST API (GET/PUT/POST), and a React component with SWR optimistic updates for real-time LLM-generated roadmaps
- •Document Pipeline: Built an end-to-end document processing pipeline supporting PDF and image uploads with entitlement-gated model routing and privacy-preserving signed-URL storage on Supabase, bypassing the serverless 4.5MB body limit for up to 100MB legal documents
- •Observability: Built a production observability stack on Grafana Cloud (Loki, Prometheus, Tempo) with a Vercel log drain pipeline; created a 13-panel real-time dashboard and analyzed 2,190 log entries to surface 6 actionable findings including a cost-critical API latency issue
- •Full Stack: Worked across the full Next.js 15 stack with TypeScript, Drizzle ORM, Supabase PostgreSQL, AI SDK v5, following a feature-branch Git workflow with code reviews before production merges
Projects
Cortex
Multi-provider LLM orchestration platform with task-aware routing across 4 providers, Redis BRPOP worker tier on Kubernetes, and a CI-gated regression eval suite.
Pitlane Live
F1 race analytics platform with telemetry pipeline serving data across 23 circuits, animated race replay, SSE live feed, and a prediction scoring engine.
TechReg Analyst
Two-stage RAG pipeline over 589 pages of FIA regulations with FAISS vector indexing, cross-encoder reranking, and citation-grounded answers at 80% Section Match@1.
F1 Pit Stop Predictor
Supervised classification pipeline over 60+ F1 races with LightGBM, SHAP explainability, SMOTE class balancing, and ROC-AUC 87.4% deployed via Streamlit.
GitHub Activity
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Open Source Contributions
Skills & Technologies
Python
TypeScript
JavaScript
C++
SQL
React
Next.js
Vue.js
Node.js
Express
Flask
Tailwind
PostgreSQL
MongoDB
Redis
Docker
Kubernetes
GitHub Actions
Nginx
Grafana
LangChain
scikit-learn
Git
Linux
Postman
AzureBlogs
Highlights
No trophies on the shelf yet.
I haven't arrived to that destination yet, but I'm on the road to building something that matters, one commit at a time. The best highlights are still ahead.