- Built and integrated a machine learning-based sentiment analysis component for live chat conversations.
- Designed and shipped a PostgreSQL-based persistent memory system for an LLM application using confidence and salience scoring.
- Implemented memory processing features including PII filtering, episodic time normalization, semantic deduplication, and usage-based decay.
- Integrated long-term memory into a live inference pipeline to enable context-aware responses across conversations.
- Built automated testing and database cleanup workflows to improve system reliability.
- Added backend authentication/security controls and integrated TTS/STT endpoints for voice-based AI interactions.
Experience
- Optimized SQL- and VBA-based reporting workflows by improving inefficient query logic and data retrieval patterns.
- Redesigned internal reporting interfaces using UX testing feedback and Figma mockups.
- Translated policy and reporting requirements into reliable data workflows for operational analysis and decision-making.
- Designed and implemented an inventory management system for mechanical and electrical assets across 150+ buildings.
- Improved data accessibility and operational reliability using the eBase platform.
- Performed data validation and asset analysis to support accurate records and long-term facilities planning.
- Conducted structured lead research and data validation to improve database quality and reliability for sales and engagement workflows.
Education
Dean's Honour Roll
Dean's Honour Roll 2021-2024
Skills
Featured projects
Python, MoFlow, DimeNet++
- Built a molecular innovation pipeline combining LLMs with graph neural networks for molecule generation and property prediction.
- Led technical implementation across model integration and workflow development in an industry-sponsored capstone.
Python, PyTorch, Streamlit, SASRec
- Implemented a Transformer-based sequential recommender with feedback embeddings and genre-aware blending for personalized recommendation generation.
- Built an interactive Streamlit demo with explainable recommendation outputs.
Python, Hugging Face
- Trained a 354M-parameter GPT-style language model on curated text datasets using the Hugging Face ecosystem.
- Built and evaluated an end-to-end training pipeline for small-scale autoregressive text generation under limited compute constraints.
Julia, Go, Python, Bash, SQLite
- Built a cross-language machine learning pipeline with model training, ETL, and a Go-based web interface.
Python, Reinforcement Learning
- Built a Q-learning traffic optimization project focused on improving routing and signal timing across large simulated scenarios.
Places
Highlighted countries I have visited. Count: 16.
List
Portugal (Azores), France, Germany, Iceland, Italy, Malta, Spain, Vatican City, Canada, United States, Mexico, Aruba, Bahamas, Barbados, Belize, Dominican Republic
Sketch
Contact
Email daniel.k.mehta@gmail.com or message me on LinkedIn.