The Intelligence Matrix
A multi-dimensional constellation of my engineering expertise.
Hover nodes for insights & click for deep-dive associations.
Mittul Daswani
AI Engineering
Data Architecture
Systems Design
Python
Custom LLMs
RAG & LangChain
PyTorch & DL
Computer Vision
NLP & Spacy
LangGraph
Time Series
TensorFlow
SQL & NoSQL
Apache Spark
Data Intel
R & MATLAB
Databricks
Redis
Apache Lucene
XGBoost
C/C++ & CUDA
Cloud & DevOps
React / Next.js
Docker
Microsoft Azure
Terraform
Tailwind CSS
TypeScript
Playwright
Professional Journey
A timeline of my experience in driving innovation, developing AI systems, and extracting actionable insights.
TWG AI twg.ai
AI Engineer
June 2025 - Present
TWG AI twg.ai
AI Engineer
June 2025 - Present
- Developed a Patent Pending - 98% accurate, scalable, Agentic Extraction Pipeline for financial sector within Palantir Foundry Platform from scratch in just 4 weeks - replacing a legacy 32 week development cycle pipeline.
- Saved the company $500,000/month by replacing inefficient legacy infrastructure with a state-of-the-art pipeline operating at a fraction of the cost ($0.14 per page) while boosting extraction accuracy by 15+%.
- Spearheaded the multi-agent backend for the Equity Research Solution, a platform showcased to the President and CIO of Bank of America and CTO of Guggenheim Securities.
- Architected and Implemented AI workflows for deal synthesis and surveillance, cutting down deal decision times by 92% for clients including Guggenheim Investments and Department of War.
- Built Media Asset Management Platform with custom YOLO scene detection algorithm for detecting key scenes from broadcast videos, saving media output times by 74% for Teton Ridge, LA Dodgers, and Steelers.
- Developed "Knowledge GO" an automated intelligence engine that ingests and analyzes SEC filings (13F, 10K, 10Q) and earnings calls into a 16+ million rows knowledge base for only $274.
- Designed an enterprise-wide server-side Ontology Querying Tool capable of executing complex queries against 16+ million records at low latency enabling sub-7 second querying outputs.
- Re-engineered the RFP Project, architecting a RAG-ready data pipeline utilizing the eVestment API and building specialized agents, optimizing speed by 15%.
Keck School of Medicine USC keck.usc.edu
Research Assistant
Oct 2024 - May 2025
Keck School of Medicine USC keck.usc.edu
Research Assistant
Oct 2024 - May 2025
- Authoring 2 research papers on proving DSWPD and Delayed Sleep Onset in OCD patients using Fitbit data, time series analysis, and anomaly detection.
- Developed a scalable data integration pipeline using parallel processing to merge Fitbit physiological data with surveys, reducing processing time by 45%.
- Implemented Isolation Forests and z-score analysis, increasing behavioral trigger identification accuracy by 30%.
- Engineered advanced signal processing workflows and optimized feature space through PCA & t-SNE, accelerating model convergence by 40%.
Hyphenova hyphenova.com
AI / ML Developer & PM
May 2024 - Aug 2024
Hyphenova hyphenova.com
AI / ML Developer & PM
May 2024 - Aug 2024
- Developed a Multimodal AI Chatbot using custom LLMs, NLP, and computer vision, improving user engagement by 58%.
- Engineered a Profanity Detection Model using n-grams and KeyBERT with 95% precision.
- Implemented a Music Recommendation System using sentiment and structure analysis of songs, increasing user satisfaction by 25%.
GlobalShala globalshala.com
Data Vis Domain Expert
May 2022 - July 2022
Project Head Internship
April 2022 - May 2022
Data Analyst
Feb 2022 - March 2022
GlobalShala globalshala.com
Data Vis Domain Expert
May 2022 - July 2022
Project Head Internship
April 2022 - May 2022
Data Analyst
Feb 2022 - March 2022
- Architected ML pipelines for automated data processing, reducing manual operational effort by 40%.
- Led a team of 8 and utilized Python and visualization tools to build custom ad campaigns, resulting in a 25% increase in ROI.
- Designed and implemented predictive models and dynamic dashboards using Python, Power BI, and Tableau.
WT
Wheel and Time
Data Analyst
June 2021 - July 2021
WT
Wheel and Time
Data Analyst
June 2021 - July 2021
- Developed quantitative analysis models to support key operation decisions, optimizing processes and improving efficiency.
- Compiled monthly logistics financial reports, ensuring accurate data presentation and aiding in financial decision making.
Projects
Showcasing academic research, publications, and production-ready systems.
Live Pothole Detection System
Project Leader, ML Engineer, Website Developer
June 2022 - June 2023
Mumbai, India
- Developed a software leveraging live video feeds from traffic signal cameras to detect potholes on road and report them to the concerned authority of respective area along with details such as location and photos of reported potholes; potholes can also be reported by users of application, and relevant details would be forwarded to respective authorities.
- Engineered machine learning model which was an integral part in project leveraging Python and CNN model, object detection, etc., trained CNN model and integrated it in web and mobile applications developed for live monitoring and for user reporting.
- Programmed website for showing live statistics of reports and results.
Research Driven Big Data Hybrid Recommendation System
ML Engineer
Jan 2024 - March 2024
Los Angeles, CA
- Designed and Experimented with a Hybrid Recommendation System, initially combining item-based collaborative filtering with XGBoost. The hybrid approach was tested extensively to explore its potential in improving prediction accuracy for Yelp review ratings.
- Conducted Rigorous Research and Comparative Analysis of various modeling techniques, including collaborative filtering and model-based methods, to determine the optimal approach for handling diverse user-business interactions.
- Finalized a High-Precision Model-Based Recommendation System after extensive experimentation, leveraging Spark RDDs and XGBoost. This model, enriched with advanced features such as user engagement metrics and business attributes, achieved an industry-leading RMSE of 0.9784.
- Enhanced Computational Efficiency and Scalability by utilizing distributed processing with Spark, reducing system latency by 30%, and enabling real-time predictions on large-scale datasets.
Custom Query Language and Scalable Database System
Database Engineer
Jan 2024 - March 2024
Los Angeles, CA
- Designed and implemented a scalable database engine that efficiently supports both relational and NoSQL models, with chunked data loading and processing, optimized for large datasets without memory overflow.
- Developed a custom query language processor enabling SQL-like operations through a syntax parser using regex and mapping techniques, enhancing flexibility in data retrieval and manipulation.
- Engineered efficient data retrieval and manipulation using chunked data processing with custom sorting and filtering functions, optimized for large scale real world datasets.
Academic Roots
The foundation of my analytical and engineering capabilities.
University of Southern California
Master's, Applied Data Science
August 2023 - May 2025
Los Angeles, CA
Thadomal Shahani Engineering College
Bachelor's, Computer Engineering
June 2019 - June 2023
Mumbai, India
Global Certifications
Accredited by industry leaders in AI, Data Science, and Systems Architecture.
Generative AI: Elevate Your Career
IBM / Coursera
Sep 2024
Business Analysis Essentials
Microsoft / LinkedIn
Sep 2024
Deep Learning Specialization
DeepLearning.AI
2024
Database Engineering
Kaggle
2023
Python for Data Science
Kaggle
July 2023
Advanced C++ Certification
HackerRank (3 Star)
2023
Complete Python Bootcamp
Udemy
May 2021