Experience Software Engineer - Backend and AI at Codalio Inc.

Architected a concurrent AI agent orchestration microservice (Python, FastAPI, LangGraph, Uvicorn, GCP) using async job queues to replace legacy libraries, improving scalability and accelerating team delivery by 100%. Engineered end-to-end GitHub OAuth/App integration and aGCP serverless workflow using isolated ephemeral containers to automate code validation and Git operations for AI-generated code. Designed AI agents for code generation using Solid Queue and WebSockets for real-time feedback. Created an auto-deployment pipeline for projects using AWS CloudFormation, ECS, ECR, EC2, Secrets Manager, IAM and GitHub to abstract CI/CD from clients. Helped and unblocked engineers across backend, Auth, DB, documentation, and cloud infrastructure; conducted code reviews.

Software Engineer - Backend and AI at Codalio Inc.

Architected a concurrent AI agent orchestration microservice (Python, FastAPI, LangGraph, Uvicorn, GCP) using async job queues to replace legacy libraries, improving scalability and accelerating team delivery by 100%. Engineered end-to-end GitHub OAuth/App integration and a GCP serverless workflow that uses isolated ephemeral containers to automate code validation and Git operations for AI-generated code. Designed several AI agents for code generation using Solid Queue and WebSockets for real-time feedback. Created an auto-deployment pipeline for projects using AWS CloudFormation, ECS, ECR, EC2, Secrets Manager, IAM and GitHub, providing an end-to-end experience and abstracting away CI/CD from clients. Blocked and assisted engineers on backend, Auth, DB, documentation, and cloud infrastructure tasks, and conducted code reviews to accelerate team delivery.

Teaching Assistant, Data Science at Academic Zone, Lakehead University

Provided help on supervised learning, regression analysis, hypothesis testing, econometrics, etc.

Software Engineer at Chargoon Inc.

Developed scalable backend systems & REST APIs using C#, serving clients and internal teams. Enhanced the authorization framework, resulting in about 20% reduction in the latency of the API calls. Streamlined migration of 500+ projects and CI/CD pipelines from TFS to Git through automated refactoring. Optimized Redis caching logic, reducing mobile app startup time by 10% and improving overall data delivery reliability.

Data Scientist - Intern at Tensurf

Conducted in-depth evaluations of cutting-edge AI research papers focused on financial markets, assessing their real-world applicability and innovation potential. Leveraged Python to design and implement proof-of-concept models based on these papers, incorporating backtesting techniques to validate the effectiveness and robustness of data-driven trading strategies.

Software Engineer - ML at DeepGraph

Used Django, Flask, and Docker to productionize models for online and batch inference as microservices. Built ML pipelines using XGBoost and Spark for a ranking system, boosting engagement by 47%. Used MLflow to track model experiments across the ML lifecycle from data ingestion to deployment. Designed image classification deep learning models in PyTorch. Performed EDA and visualization using scikit-learn, pandas, and NumPy to support data-driven decisions.