ShreyanshPaliwal
Software Engineer — New Delhi
Full-stack engineer building agentic AI pipelines and real-time systems, from complex backends to production interfaces.
Background &
Education
Currently a B.Tech Information Technology student at Guru Gobind Singh Indraprastha University (MAIT), New Delhi, carrying a 9.08 CGPA through Data Structures & Algorithms, Databases, Operating Systems, and Artificial Intelligence, and shipping production code alongside it.
- Based in
- New Delhi, India
- Education
- MAIT · 2023–2027
- CGPA
- 9.08 / 10
- Focus
- Full-stack & agentic systems
Where I've worked
Experience
Procurpal
Software Engineer Intern — Full Stack
Dec 2024 – Mar 2025 · Bangalore, Remote
- Designed and led backend integration for QSign, an e-signing document feature, using TypeScript, AWS Lambda, API Gateway, cron jobs and DynamoDB — automating workflows and cutting sync delays by 50%.
- Engineered a real-time eAuction module with React, WebSockets, Tailwind CSS and ShadCN UI, shipping 20+ production-ready screens supporting concurrent sessions.
- Optimized AWS Lambda microservices and the Docker deployment pipeline, cutting deploy time from 10m to 3.6m and artifact storage 5x.
MyAiTree
Software Engineer Intern
Jun 2024 – Aug 2024 · Delhi, Remote
- Built a client-side image caching layer for asset delivery, dropping page load latency from 4000ms to under 500ms and improving PDF parsing and rendering.
- Integrated a Python-based computer vision AI backend with the frontend via RESTful APIs, enabling real-time inference results across the UI.
Selected work
Projects
Agentic log-intelligence pipeline with an integrated RAG debugging chatbot
React, TypeScript, Next.js, Llama 3, Node.js, Docker, MongoDB, Redis, OAuth
- Developed an agentic AI pipeline that parses raw logs, detects anomalies, reconstructs failure context and generates LLM-based incident narratives.
- Built a real-time PR analysis engine using GitHub REST APIs and webhooks to ingest pull requests, evaluate code diffs and surface high-risk changes across repositories.
Keystroke and mouse-dynamics behavioral authentication system
Python, Machine Learning, PostgreSQL, Redis, Scikit-learn, Feature Engineering
- Architected a behavioral authentication system, designing the feature extraction pipeline and deploying it for real-time verification against enrolled profiles.
- Curated a longitudinal multi-user dataset alongside the CMU benchmark; the best-performing model reached 95.6% balanced accuracy and 2.1% EER.
- Containerized and deployed on Google Cloud Run with GitHub Actions CI/CD, using PostgreSQL for enrollment/verification data and Redis for session management and rate limiting.
What I work with
Skills
- Languages
- CC++JavaScriptTypeScriptPython
- Frameworks & libraries
- Next.jsReact.jsNode.jsExpress.jsTailwind CSSSocket.IO
- Tools & infra
- MongoDBRedisDockerGitAWS (Lambda, DynamoDB, S3, EC2)Google Cloud RunGitHub Actions
- Certifications
- AWS Cloud Technical EssentialsMicrosoft AI Fundamentals (AI-900)Postman API Fundamentals
Extracurricular | Achievements
- Contributed 11+ patches to the Git open-source codebase via the kernel.org mailing list review process, merged into v2.54.0.
- Ranked Top 10 among 5,000+ participants in Augtoberfest (Code4GovTech); secured a merged PR in OpenNyAI.
- Secured 3rd place at Hacknovate Sustainable Development Hackathon; shortlisted among Top 50 teams at Smart India Hackathon 2025.
- Served as Web Dev Head at IOSD and Core Developer at TEDxMAIT; co-organized HackMAIT 5.0 and led full-stack workshops.
Let's talk
Contact
Have a role, a project, or an idea worth building? Drop a note or reach me directly — I'm usually quick to reply.