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Python · SQL · sklearn · LangChain — taking models from notebook to production.
01 · About
I'm a Software Engineer and ML Developer who bridges the gap between data science and production engineering. I specialize in building end-to-end systems — from training ML models to deploying them as reliable, scalable services.
My background spans deep learning inference services, serverless NLP chatbots, data warehousing pipelines, and full-stack web applications. At AdvisorStream, I improved API latency by 28%, cut database query times by 35%, and pushed test coverage from 54% to 81% — all in a single internship cycle.
I believe in clean code, measurable outcomes, and systems that hold up under production load.
02 · Skills
39 technologies across ML/AI, cloud, backend, and data engineering. Drag the sphere to explore.
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03 · Experience
Software Developer Intern
Content marketing platform for financial advisors. Worked across CI/CD, API performance, database optimization, and testing within a 6-person Agile/Scrum team.
reduction in API response latency
Node.js/Express.js query optimization, caching, request profiling
drop in DB retrieval latency
PostgreSQL schema optimization and analytical pipeline improvements
downtime across all sprint deployments
GitHub Actions CI/CD pipelines on AWS EC2
test coverage increase
TDD with Jest, reduced production defect rate by 40%
Advanced Diploma — Software Engineering Technology, Artificial Intelligence
Coursework
04 · Work
Production-oriented projects with measurable outcomes, scalable architectures, and real-world constraints.
Scalable deep learning inference service for detecting brain MRI abnormalities. Achieved 6–7 images/second throughput at 0.15s latency through model quantization and batch processing under production-like load.
Serverless, event-driven mental health chatbot on AWS Lambda with HIPAA-aware data handling. Achieved 20% NLP accuracy improvement through iterative retraining and hyperparameter tuning.
End-to-end ETL pipeline processing 500K+ Amazon review records with automated ingestion, validation, transformation, and loading into a centralized analytical data warehouse.
Full-stack hotel reservation system with horizontally scalable MongoDB schema, PayPal payment integration, and atomic booking state management to prevent race conditions under concurrent load.
05 · Contact
I'm actively looking for full-time opportunities. Drop a message in the terminal below.
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