About Me
I'm an AI/ML Software Engineer with 3+ years of experience building AI-powered tools, full-stack applications, and scalable data infrastructure. My expertise lies in Python for production ML deployment, LLM agent orchestration, coding agents, and inference optimization. I specialize in multi-agent systems, parallel background agents, and agentic AI products that prioritize usability, safety, and real-world impact.
My Story
I'm an AI/ML Software Engineer passionate about building AI-powered tools, full-stack applications, and scalable data infrastructure. My expertise lies in Python for production ML deployment, LLM agent orchestration, coding agents, and inference optimization.
I specialize in multi-agent systems, parallel background agents, and agentic AI products that prioritize usability, safety, and real-world impact. My work spans from developing user-facing tooling and React-based dashboards for LLM-driven apps to building high-throughput APIs and data pipelines that process millions of events daily.
What drives me is the challenge of creating AI systems that are not only technically sophisticated but also practical and user-friendly. I love working with modern frameworks, optimizing performance, and building solutions that deliver measurable business value while maintaining high standards of code quality and system reliability.
Tech Stack
Technologies and tools I use to bring ideas to life
Languages
- Python
- TypeScript
- SQL
- HTML
- CSS
Frameworks & APIs
- React
- Next.js
- Tailwind
- FastAPI
- Flask
- Django
- Spring Boot
- REST
- gRPC
- Kafka
AI/ML
- GPT-5
- GPT-4
- GPT-4o
- Claude Sonnet-4
- Claude Sonnet
- Gemini
- LangChain
- LangGraph
- Pinecone
- XGBoost
- PyTorch
- HuggingFace
- Transformers
- scikit-learn
- BERT
DevOps
- Docker
- GitHub Actions
- AWS Lambda
- Kubernetes
- CI/CD
Monitoring
- AWS CloudWatch
- Prometheus
- Logging
- Alerting
Databases
- PostgreSQL
- MySQL
- MongoDB
- Redis
- DynamoDB
Education
- Data Structures & Algorithms
- Machine Learning
- Data Mining
- Data Center Scale Computing
- Cybersecurity for Data Science
- Data Science as a Field
- Ethical Issues in Data Science
- Data Structures and Algorithms
- Software Engineering
- Web Technologies
- Cloud Computing
- Database Systems
- Operating Systems
- Object-Oriented Programming
- Computer Networks
- Distributed Systems
Experience
My professional journey in the tech industry
Software Engineer
Jul 2025 - Present
- Architected multi-agent AI pipelines for real-time code generation using Python, LangChain, and GPT-4, contributing to product features that helped drive $2M ARR within three months of product launch.
- Accelerated developer prototyping by 60% (from 2 weeks to 3 days) by building React + TypeScript dashboards with real-time LLM feedback loops, enabling the engineering team to iterate on AI features 3x faster.
- Reduced AI hallucinations by 40% by designing automated evaluation benchmarks using Python and LangSmith.
- Reviewed peer code contributions to enforce style guidelines, testability, and efficiency, and contributed to internal documentation for AI pipeline maintenance.
Software Engineer
Jun 2024 - Dec 2024
- Scaled ML inference infrastructure to process 5M+ events daily by building high-throughput gRPC APIs and serverless pipelines (Python, AWS Lambda, DynamoDB), reducing campaign targeting latency from 2s to 300ms.
- Reduced ML pipeline downtime by 70% by implementing monitoring, alerting, and runbook documentation with CloudWatch and Prometheus.
- Achieved 95% test coverage with Pytest/Jest automation, reducing production defects by 25%.
- Reviewed code changes and provided feedback on best practices, testability, and efficiency to support reliable deployments.
- Contributed to operations documentation and incident postmortems to improve system reliability and knowledge sharing.
Software Engineer
Aug 2021 - Jun 2023
- Improved system throughput by 20% (handling 10K+ requests/minute) by architecting event-driven microservices with Spring Boot, Kafka, and AWS Lambda for real-time pharmacy benefit decisions.
- Collaborated with data scientists to productionize ML models, automating deployment workflows and accelerating iteration speed by 25%.
- Reduced page load times by 25% by optimizing React + Redux architecture, improving user experience for data-heavy workflows serving 50K+ daily users.
Associate Software Engineer
Nov 2020 – Aug 2021
- Developed frontend components using React and TypeScript, improving usability and cross-browser performance by 25%.
- Designed RESTful APIs in Python to optimize system communication, reducing data processing time by 30%.
- Deployed containerized services using Docker on AWS EC2, integrating CI/CD pipelines for automated and scalable delivery.
Certifications & Awards
Generative AI Fundamentals
Databricks
Data Science Hackathon
University of Colorado Boulder
Introduction to R Programming
University of Colorado Boulder
MongoDB – The Complete Developer's Guide
Udemy
Spot Award – Outstanding Contribution in Project
TEKsystems
Go Java Full Stack with Spring Boot and React
Udemy
React Testing library with Jest
Udemy
React Course
Udemy
SQL (Basic)
Hackerrank
SQL (Intermediate)
Hackerrank
Vue Course
Udemy
Python (Basic)
Hackerrank
Python (Intermediate)
Hackerrank
Python Course
Coursera & Google
Volunteering & Activities
Ways I give back and stay engaged beyond work
