Experience
Meta - Software Engineer
San Francisco Bay Area, CA, January 2025 - PRESENT
- Recruited from Ads Infrastructure to a high-priority AI team after delivering high-impact ML infrastructure work.
- 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.
- Built infrastructure for a generalized ad-ranking model that improved ad value by 1–2% per ranked ad.
Amazon Web Services - Software Engineer
San Francisco Bay Area, CA, January 2020 - January 2025
- Database kernel (MySQL/PostgreSQL) 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
- Implemented POS and transaction-based solutions using Python, JavaScript, C/C++, PostgreSQL, and Unix.
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 serves as an AI assistant for youth facing homelessness.
- Enabled users to chat with the assistant via text or speech and place phone calls to agencies without exposing 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 after my LLM agent defeated other LLM agents in one-on-one chess matches with a 100-move limit.
Amazon Patent (Pending) – AWS Aurora AI/RL-Based Database Configuration System
- Lead designer and inventor of a database configuration system that uses reinforcement learning to predict optimal configurations based on customer workloads.
Contributor to TensorFlow – Google Brain Open-Source Project
C/C++, Python
- Contributed C++/Python changes to TensorFlow runtime/model-training infrastructure.
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.
