San Francisco–based engineer crafting scalable apps and cloud-native solutions.
Currently building at Treevah LLC (Chicago, USA).
I'm a passionate Full Stack Software Engineer with a strong foundation in system design, cloud deployment, and Python‑powered automation. I work across the stack with React.js, Spring Boot, Node.js, and Python, and deploy robust systems on AWS using Docker, Kubernetes, and CI/CD.
At Treevah, I build performant UI components, design scalable APIs, and automate backend workflows. Previously at Wipro and Zensar Technologies, I delivered enterprise features, ML‑assisted tooling, and containerized services.
Building performant UI and scalable services; leading Python-based automation alongside Java/Spring Boot.
Shipped HA services, ML‑assisted tooling, and security hardening for distributed systems.
Contributed UI features and performance improvements; partnered closely with backend teams.
Delivered onboarding portal; secured APIs; containerized and optimized services.
Relevant Coursework: Advanced Algorithms, Cloud Computing, Distributed Systems, Machine Learning, Software Engineering, Databases, System Design
Relevant Coursework: Operating Systems, Data Structures & Algorithms, Database Management Systems, Web Development, Computer Networks, Software Development Lifecycle
ETL, transformation, and dashboards over large datasets
Airflow‑driven ETL from APIs/logs; Pandas+SQLAlchemy transforms; Lambda triggers; business KPIs in Tableau.
Cloud-based loan applications, approvals, and document workflows
Secure REST APIs (JWT), AWS S3 documents, Lambda automations; CI/CD & Kubernetes scaling.
Event-driven microservices with intelligent routing
Serverless pipelines with ML-based decisions for document processing and task priority.
High-throughput service with caching and autoscaling
Efficient hashing, rate limiting, Redis caching (-60% latency), EKS with HPA and health checks.
Messaging with groups, media, and presence
JWT/OAuth auth, delivery receipts, media storage on S3; scalable via Docker + K8s.
End‑to‑end storefront with recommendations
Catalogs, carts, payments; Python collaborative filtering; workers for emails/invoices.
CRM sync, secure APIs, and role‑based access
CRM ETL with Camel; JWT‑secured endpoints; RBAC; improved data integrity by ~95%.
Upload, transcode, and global streaming
Event‑driven encoding via Kafka, pre‑signed URLs, CDN‑backed delivery; search & basic recs.
Open to new opportunities, collaborations, or a chat about tech.