I’m a backend-leaning Software Engineer with experience building scalable APIs, cloud-native services, and data-intensive systems, and integrating applied AI into production workflows.
My work focuses on reliability, performance, and clean system design at scale.

🔗 Connect

• LinkedIn
• Portfolio
• Resume
• Google Scholar

• 🧓 Fall Detection Platform
  Building a privacy-preserving, edge-to-cloud backend for indoor fall detection using mmWave radar, with real-time inference and alerting pipelines.

• 🤖 Robotics & RL Systems (MuJoCo)
  Designing reinforcement learning agents with stability and retry metrics, focusing on evaluation, deployment readiness, and system robustness.

• 🧩 Digital Twin Systems
  Developing backend services and data pipelines to simulate and monitor real-world systems using streaming data and cloud infrastructure.

TypeScript | LangChain | Serverless | LLMs

• Built an AI agent to assist with job applications and resume customization
• Designed multi-agent pipelines and scalable backend services for feedback generation
• Focused on reliability, prompt versioning, and production deployment

Python | FastAPI | HTTPX | Data Normalization | Docker

• Built a resilient scraper to fetch real-time lines and player props from FanDuel, DraftKings, and PrizePicks
• Designed a normalized odds schema to unify heterogeneous sportsbook APIs into a single event market selection model
• Implemented rate-limiting, retries, freshness checks, and provider health tracking for production reliability

TypeScript | Gemini API

• Built a system that converts research papers into executable algorithm implementations
• Designed backend workflows for document parsing, reasoning, and code generation

React | Java | Tomcat | MySQL | AWS

• Developed an end-to-end e-commerce system with REST APIs and SPA frontend
• Optimized backend queries and connection pooling to reduce latency under load
• Deployed on AWS with VPC isolation and secure public/private subnet architecture

Java | AWS Lambda | API Gateway | RDS Proxy | Terraform

• Architected a serverless backend supporting burst traffic with low operational overhead
• Implemented retries, DLQs, and automated IaC deployments for resilience

Android | IoT | ML | Firebase

• Built an end-to-end system streaming encrypted biosensor data from mobile to cloud
• Designed backend validation, storage, and analytics pipelines

PyTorch | TensorFlow | NLP

• Designed a real-time phishing and malware URL detection backend
• Achieved high accuracy using deep learning–based text representations

PySpark | AWS EMR | S3

• Built a distributed MapReduce pipeline to analyze large-scale Twitter data
• Processed and ranked trending hashtags using Spark on AWS

Languages: Java, Python, TypeScript, JavaScript, SQL, Bash
Backend: REST APIs, Microservices, Spring Boot, Node.js, FastAPI
Cloud & Infra: AWS (EC2, Lambda, RDS, S3, EMR), GCP, Docker, Kubernetes, Terraform
Data & Messaging: MySQL, PostgreSQL, DynamoDB, Redis, Spark, Airflow, Kafka
AI & ML: LangChain, Hugging Face, PyTorch, scikit-learn
Frontend (when needed): React, Next.js, Tailwind CSS

I enjoy turning complex requirements into reliable systems — building software that scales, integrates intelligence thoughtfully, and holds up in production.