Passionate founder & engineer
Innovative and research-driven — building AI systems that respect privacy and scale globally.
Recognition
🏆 Awards & Honors
NASSCOM & Cisco · April 2025
Tranquil Labs · Hackathon → Commercial
Startup Mahakumbh · AI Impact Summit · Kerala Global Huddle
I constantly try to improve
My tech stack
Education
🎓 VIT Vellore
B.Tech Computer Science · 2021–2025
ML · Distributed Systems · Cloud Computing · DSA · DBMS
The Inside Scoop
Currently building Tranquil Labs — AI-powered mental wellness platform.
Do you want to start a project together?
A small selection of recent projects
Tranquil AI
AI-powered mental wellness platform with CBT therapy, guided meditation, mood journaling & predictive algorithms. 5K+ downloads, 5★ on App Store.
ChatAstro
AI-powered conversational astrology platform delivering personalized astrological insights with prompt-engineered generative AI and precise planetary computations.
PhoenixHub CRM
Full-stack CRM system with end-to-end lead tracking, automated business workflows, multi-tenant API architecture, and role-based permission tiers.
Next.js SaaS Boilerplate
Production-ready SaaS starter with auth, Stripe payments, dashboard CI/CD — built to eliminate repetitive project setup for every new startup idea.
More projects from GitHub
Queue Management System — Flutter + Flask + JWT + Real-time
LLM-powered user persona from Reddit post history with citations
Large-scale OCR pipeline — PyTesseract + Google DocAI + automation
Enterprise RBAC system + constituency analytics pipelines
JavaScript AI-powered note taking application
Python-based bulk email automation system
GitHub Contributions
My work experience
Tranquil Labs
CurrentCo-Founder & CFO
April 2024 – Present · India
Spearheaded technical architecture for an award-winning AI mental wellness platform integrating conversational AI, CBT modules, and predictive mood algorithms. Recognized by NASSCOM & Cisco as India's Best Student Startup 2025.
- Engineered high-performance backend: Python (Flask), PostgreSQL, Redis, Firebase — containerized via Docker
- Orchestrated cloud-native SOA across distributed AWS and Azure environments
- Integrated transformer-based inference pipelines + async Celery/Redis job queues for conversational AI
- Secured ₹5 Lakh seed funding through financial forecasting models and cloud cost optimization
Pravaratan Technologies
FintechSoftware Engineering Intern
Oct 2023 – Dec 2023 · Remote
Contributed to full-stack fintech applications with real-time data pipelines and concurrent transactional systems.
- Built fintech apps: Flutter frontend + Flask backend with WebSocket-based real-time pipelines
- Engineered concurrent PostgreSQL transactional systems under high concurrency
Backstage Army
BackendBackend Engineering Intern
Sep 2023 – Dec 2023 · India
Managed and optimized backend infrastructure powering the platform's subscription and revenue models.
- Engineered secure payment tracking workflows for accurate billing and seamless user upgrades
- Optimized database operations for financial data integrity under concurrent access
Tech Head — GDSC
Google Developer Student Clubs · led workshops on cloud, AI & full-stack
Senior Core — ADG
Apple Developers Group · directed mobile dev events and initiatives
Senior Core — VITMAS
Organized large-scale academic & technical events at VIT
Research & Intellectual Property
Federated Learning for Privacy-Preserving Mental Health Diagnosis
Proposed and architected a decentralized federated learning framework enabling collaborative AI-driven mental health diagnosis without exposing or centralizing raw patient data. Designed robust secure aggregation mechanisms to mitigate gradient leakage and protect sensitive healthcare datasets from model inversion attacks.
Privacy by Design
Symmetric encryption on gradient updates aggregated on a central parameter server — raw data never leaves the device
Distributed Training
Local client models compute gradient updates independently, enabling collaborative learning without data centralization
Regulatory Compliant
Architecture adheres to privacy-by-design principles — viable for real-world medical AI regulatory compliance
Performance Trade-offs
Evaluated convergence speed, network communication overhead, and cryptographic privacy guarantees
In the Press
How AI startups are transforming healthcare access and diagnostics
Read ArticleFour 22-year-old VIT students turned a hackathon idea into a funded AI mental health app
Read ArticleTranquil: AI Built in a Dorm Room — bootstrapping and cloud architecture
Read ArticleMy approach
Architecture First
Before writing a single line of code, I map out system architecture — data flows, API contracts, scalability requirements, and security boundaries to ensure the foundation is solid.
Build for Scale
Every system I build is designed to handle orders of magnitude more load — distributed architecture, caching layers, async queues, and cloud-native deployments from day one.
Ship & Iterate
I believe in getting things live fast and iterating based on real feedback — from hackathon prototype to NASSCOM award-winning product with thousands of active users.