Experience
American Express
Software Engineer
- /Built backend services in Python with REST endpoints serving 18 U.S. commercial channels, achieving a 40% reduction in p95 latency.
- /Owned end-to-end SDLC for ETL microservices on AWS, including design, code review, and deployment with 100% success rate.
- /Collaborated in Agile sprints to ship BI dashboards backed by AWS Glue, contributing to design docs and on-call rotations.
Ameriprise Financial
Software Engineer
- /Designed distributed data pipelines on AWS using Python, Spark, and Lambda, reducing daily load times by 80%.
- /Engineered REST API integrations between BlackRock Aladdin and Snowflake with retry logic, reducing production errors by 95%.
- /Deployed observability stack with AWS Lambda and CloudWatch for automated monitoring and 100% pipeline consistency.
Ivavsys Technologies
Software Engineering Intern
- /Developed Python forecasting services using ARIMA-LSTM models exposed via REST endpoints to predict SLA breaches.
- /Built operational dashboards integrated with backend APIs to preempt production bottlenecks during high-traffic events.
Selected Projects
Technical Details
- / Full-stack analytics platform with React frontend and Node.js/FastAPI backend.
- / Designed normalized PostgreSQL schema for sub-100ms response times.
- / Implemented JWT auth with role-based access control.
Private Capital Analytics Platform for tracking portfolio metrics and IRR calculations.
Technical Details
- / Backend service transcribing 1-hour audio in under 5 minutes using Whisper.
- / Async job queue with Celery/Redis for tasks up to 2 hours.
- / Structured retry logic and webhook notifications for fault-tolerance.
AI-Powered Transcription Service serving Whisper ML inference for multi-language audio.
Technical Details
- / Ingested 1M+ messages per day using Kafka producers.
- / Implemented windowed transformations in Spark Streaming.
- / Visualized market trends with real-time Grafana dashboards.
Real-time Financial Intelligence Platform ingesting live market data via Kafka and Spark on EMR.
Technical Details
- / Optimized Parquet partitioning for faster query performance.
- / Benchmarked Dask vs Spark for specific compute workloads.
- / Automated deployment using Docker and Kubernetes.
Large-scale data processing framework built to benchmark transformations and query optimization.
Technical Details
- / Generated DDL statements automatically from JSON schemas.
- / Visualized Hub, Sat, and Link relationships using D3 force graphs.
- / Integrated Snowflake SQL API for real-time metadata extraction.
Interactive visualizer for Snowflake Data Vault 2.0 architectures with automated schema generation.
Technical Details
- / Built custom decorators for automated retry and error logging.
- / Exposed job health metrics via Prometheus scraping endpoints.
- / Automated Slack notifications for pipeline failures.
Lightweight, self-healing ETL framework for Python with built-in Slack alerting and Prometheus metrics.
Skills & Expertise
Languages & OOP
Backend & APIs
Frontend & Cloud
Databases & DevOps
Education
Stony Brook University
M.S. in Computer Science and Applied Mathematics & Statistics
Key Courses & Insights
Big Data Systems
Learned distributed computing architectures and MapReduce fundamentals.
Statistical Machine Learning
Explored advanced regression and classification techniques.
Database Systems
Deep dive into RDBMS internals and NoSQL scalability.
GGSIPU Delhi
B.Tech in Electronics & Communication
Key Courses & Insights
Digital Signal Processing
Study of discrete-time signals and systems analysis.
Communication Systems
Fundamentals of analog and digital communication protocols.
Certifications
Amazon Web Services
AWS Certified Solutions Architect – Associate (SAA-C03)
Amazon Web Services
AWS Certified Cloud Practitioner
Databricks
Databricks Certified Data Engineer Associate
Let's Build Something
Currently looking for new opportunities and interesting projects to collaborate on.