Experience
Meta - Software Engineer
San Francisco Bay Area, CA, January 2025 - PRESENT
- Core engineer on Meta Ads Infrastructure, developing low‑latency C/C++ services powering global ad delivery.
- Designed large-scale ML calibration systems that increased revenue by ~$10M/year and reduced fleet CPU usage by 2–3% across services handling millions of RPS.
Amazon Web Services - Software Engineer
San Francisco Bay Area, CA, January 2020 - January 2025
- Database kernel (MySQL/Postgres) engineer on the AWS Aurora Database Engine team using C/C++.
- Core engineer on the new Aurora Limitless product, presented at 2024 re:Invent (https://aws.amazon.com/about-aws/whats-new/2023/11/amazon-aurora-limitless-database/).
- Led initiatives to create a sharded distributed storage engine capable of handling more than 1M TPS.
Givex - Software Engineer
Toronto, ON, January 2019 - January 2020
- Backend development using Python, JavaScript, C/C++, PostgreSQL, and Unix.
- Implemented gift card, point-of-sale, and other transaction-based solutions for Fortune 500 companies.
Projects
1st Place – Google Technology Prize, Hack for Social Impact 2025
Python, React Native, Node/Express, Google Cloud
- Created a fully functional cross-platform app that acts as an AI assistant for youth facing homelessness.
- Enabled users to chat with the AI assistant via text or speech; the assistant could also place phone calls to agencies on the user’s behalf without using the user’s phone number.
1st Place – Novice Champion, LLM Chess Hackathon (StrongCompute)
Python, PyTorch, TensorBoard
- Trained a 3M-parameter vision-LLM agent from scratch using 8xH100s, FlashAttention, FSDP, GELU, and AMP.
- Won Novice Champion by having my LLM agent defeat other LLM agents in 1-on-1 chess matches (100-move max).
Amazon Patent (Pending) – AWS Aurora AI/RL-Based Database Configuration System
- Lead designer and inventor of a database configuration system that automatically predicts optimal database configurations based on customer workloads using AI reinforcement learning techniques.
Contributor to TensorFlow – Google Brain Open-Source Project
C/C++, Python
- Contributed to an open-source project enabling developers to create and train ML models.
Two Sigma - AI Competition - Halite 2
Python, Tensorflow, Numpy
- Designed and trained an RL-based AI bot to beat other bots in a virtual game created by Two Sigma (Ranked top 10% of players in Halite 2)
- Scraped data from google cloud buckets and trained my bot on google cloud virtual machines
DattaBot – Artificial Intelligence (AI) LLM Bot
Python, PyTorch
- Created a transformer LLM model, API, and bot. Uses latest PyTorch features, error and debugging logging, easy model hyperparameters and configurations, and much more.
- MoE based model. Uses FSDP, GeLU, AMP, RMSNorm.
