Led implementation of core platform features across frontend (React/Next.js) and backend (Node.js, Python). Designed and contributed to scalable system architecture, improving performance and maintainability. Mentored engineers and helped unblock development across the team, collaborating with leadership to prioritize roadmap and deliver high-impact features. Built and maintained cloud-based services on AWS focused on reliability and performance, reducing latency by 30–40% through optimization and improved service design. Established engineering best practices including CI/CD pipelines, modular architecture, and code quality standards.

Senior AI/ML Engineer at Stock Trading Startup Platform

Built an end-to-end algorithmic trading ecosystem focusing on intraday and daily equities, enabling real-time signal generation, backtesting, and automated trade execution using FastAPI, Streamlit, and MongoDB. Developed modular financial strategies along with a Streamlit dashboard that visualizes, simulates, and optimizes technical-indicator-based strategies and candlestick overlays. Created an automated trade allocation engine, a stock ranking and scoring system, bot orchestration, and portfolio monitoring via a Django dashboard connected to Interactive Brokers API and MongoDB.

Full-Stack AI Engineer at Zurney.ai

Built and launched a production SaaS platform using TypeScript (Next.js) and Python (FastAPI). Designed backend APIs and integrated third-party and external APIs. Owned system architecture and delivered from concept through production deployment. Implemented scalable infrastructure using cloud services and containerization (Docker). Collaborated cross-functionally to define product features and improve UX. Leveraged AI tools and LLMs to accelerate development and enhance product capabilities.

OpenAI Developer at Zurney.app

Built a FastAPI backend with GPT-3 API integration to generate travel itineraries and extract locations. Created a Next.js app to display itineraries and visualize geo-locations on Google Maps color-coded by trip day. Dockerized and deployed both the FastAPI backend and Next.js frontend to DigitalOcean.

Full-Stack Web3 Engineer at Phantom Network

Built scalable frontend and backend features using TypeScript and modern frameworks. Integrated external APIs and blockchain systems into production applications. Worked on high-scale systems serving millions of users, focusing on performance and reliability. Collaborated with cross-functional teams in a fast-paced startup environment.

Front-End Engineer at Klassroom

Developed scalable React applications and improved platform usability. Worked closely with product and design teams in an Agile environment. Contributed to performance optimization and UI consistency.

Machine Learning Engineer at Samsung R&D Institute (SIDi)

Engaged in global projects managed by Samsung, implementing and optimizing ML models for real-time speech recognition and audio event detection on mobile devices. Improved Galaxy’s multilingual speech recognition features shipped by Samsung and currently used by millions of users. Implemented a modular proof-of-concept of Android apps for continuously reading the device’s microphone, feeding keyword-spotting models, and displaying its output predictions. Assisted Q&A teams during live and simulated tests, documenting results and collecting feedback.