Hey, I'm Sujit — a B.Tech Computer Engineering student at VIT Pune who builds production-grade AI systems, secures LLMs, and ships real-world cloud infrastructure. Not side projects. Live deployments.
I work at the intersection of AI Security, Cloud-Native Systems, and Generative AI — obsessed with building systems that are not just accurate, but robust, explainable, and scalable.
"Don't just train a model. Deploy one that survives the real world."
🎓 B.Tech Computer Engineering @ VIT Pune | Graduating 2028
📍 Pune, Maharashtra, India
📮 sujitpatil2006@gmail.com
🎯 Open to: Full-Stack · ML/AI · Generative AI Internships
🚀 Currently shipping:
| Status | Project | Stack | Highlight |
|---|---|---|---|
| ✅ Live | JanSevaAI |
React · AWS Lambda · Bedrock · YOLOv8 | Full civic AI platform on AWS |
| ✅ Published | GraphQL Anomaly Detection |
LSTM · CNN · TensorFlow | arXiv co-authored paper |
| ✅ Shipped | LLM Firewall |
Python · ML Classification | 85% injection detection accuracy |
| 🟡 Building | Multimodal RAG |
SageMaker · PyTorch · S3 | Construction safety analysis |
| Title | Venue | Year | |
|---|---|---|---|
 |
AI-Driven Anomaly Detection for GraphQL APIs under Nested Query Attacks | arXiv (co-authored) | 2025 |
| Project | Stack | Key Impact |
|---|---|---|
| 🏛️ JanSevaAI | React 19 · AWS Lambda · Bedrock (Claude 3 Haiku) · YOLOv8 · DynamoDB · S3 · CloudFront | Live AWS deployment · 13 Lambda functions · 3 user roles · SNS OTP auth |
| 🔏 LLM Prompt Injection Firewall | Python · ML Classification · Rule-based Filtering | 85% detection accuracy · real-time prompt sanitization |
| 🕵️ GraphQL Anomaly Detection | LSTM · CNN · TensorFlow · OWASP tools | 92% detection accuracy · arXiv published |
| 🏗️ Multimodal RAG — Construction Safety | PyTorch · SageMaker · AWS Lambda · S3 · Vector DB | Serverless architecture · production SageMaker endpoints |
| 🤖 AI Network Intrusion Detection | XGBoost · Autoencoders · LSTM · NSL-KDD · CICIDS2017 | Hybrid ML + DL · UNSW-NB15 benchmarked |
Languages
AI · ML · Data
Generative AI
Web · Full-Stack
Cloud & Infrastructure
Databases
| Achievement | |
|---|---|
| 🧩 | 500+ LeetCode problems solved — strong DSA & problem-solving foundation |
| 📄 | Co-authored arXiv paper on AI-driven GraphQL anomaly detection |
| ☁️ | Live AWS deployment — JanSevaAI serving real civic use cases |
| 🔒 | 85% LLM attack detection — prompt injection firewall in production |
| 🏆 | Kaggle competitor — NVIDIA Nemotron Model Reasoning Challenge (LoRA fine-tuning) |
"Don't just train a model. Deploy one that survives the real world."