I build data products that sit at the interaction of AI, automation, and analytics. My work ranges from machine learning, data analytics, and research to workflow automations, algorithmic trading, and internal AI assistants.
I like building things that make someone else's job easier. Over the past few years, I've developed predictive models, created business intelligence dashboards, automated reporting workflows, and built AI-powered tools for enterprises across education, consulting, law, and social impact.
And I like working across the entire project's lifecycle - understanding the problem, cleaning and analyzing data, building systems, and delivering tools that people actually use. I recently graduated Magna Cum Laude with a degree in Statistics and Data Science, and I'm excited to continue building systems at the intersection of data, AI, and automation.
How I Think & Build
First principles. Systems that solve real problems.
How I Think & Build
First principles. Systems that solve real problems.
Understand the human problem first — what manual friction is someone experiencing daily?
Investigate inputs rigorously. Clean, normalize, and eliminate leakage before modeling.
Design modular, deterministic pipelines uniting sequence models with reliable automation.
Backtest against unseen edge cases, simulate real environments, and audit failure modes.
Deploy resilient tools with automated monitoring that make someone else's job simpler.
Engineering Stack:
Autonomous Algorithmic Trading Agent
Quantitative AI · Algorithmic Trading · 2024–2026
Candlestick Pattern Image Classifier
Deep Learning · Computer Vision · 2024
Financial Tweet Sentiment Classifier
NLP · Sentiment Analysis · 2024
Instagram Reels Recommendation System
Machine Learning · Graph Algorithms · 2024
How Data Can Help Delhi Breathe Again
Environmental Analytics & Storytelling · 2023
Financial Transactions & Credit Limit Prediction
Data Engineering · Econometrics · 2023
Flipkart Webscraping for NLP Sentiment Analysis
Web Automation · RPA & NLP · 2023
Hatespeech Detection
NLP · Text Classification · 2023
Customer Segmentation For Online Retail Store
Unsupervised ML · RFM Analytics · 2023
Market Munch
Commercial Analytics & Forecasting · 2023
Professional Experience.
✦ 6 ROLES · ENTERPRISE AI, APPLIED DATA SCIENCE & WORKFLOW AUTOMATION
- Automated cross-functional workflows using Python, n8n, and MS Power Automate, reducing manual processing time by 30% across core agency operations.
- Architected and deployed an internal knowledge chatbot leveraging Microsoft Copilot, reducing organizational data retrieval times by 50-60% and securing internal data access.
- Spearheaded technical rollouts and a monthly AI workshop series for non-technical employees, directly increasing internal AI tool adoption and cross-departmental productivity.
- Built modular engineering pipelines for large-scale grant discovery, knowledge retrieval, and research synthesis, cutting time-to-insight by 50% and accelerating project proposal pipelines.
Inside a live build · Flagship Capstone
Autonomous Algorithmic Trading Agent.
AI quant agent combining LSTM sequence modeling with FinBERT NLP sentiment to predict stock & crypto asset price movements and execute automated trades.
The stack
The toolbox.
Quantitative AI sequence networks, deterministic workflow automations, and robust cloud deployment pipelines. Pick a discipline to filter the field.
- Python
- PyTorch
- LSTM Networks
- FinBERT NLP
- VectorBT Backtesting
- Scikit-Learn
- XGBoost
- NumPy
- Selenium Headless RPA
- n8n Workflows
- MS Power Automate
- Microsoft Copilot Agents
- Google Apps Script
- Microsoft Power BI
- DAX Formulations
- Pandas Dataframes
- SQL & Relational Schemas
- R Programming
- Econometric Modeling
- Vision Transformers (ViT)
- CardiffNLP RoBERTa
- Hugging Face Transformers
- RAG Retrieval Pipelines
- Gradio Web UI
- Azure Linux Virtual Machines
- Streamlit Dashboards
- GitHub Actions CI/CD
- tmux Daemon Management
- Git & Version Control
Plus the glue — automated testing · CI/CD pipelines · system documentation · English & Burmese
Education & Honors.
Bachelor of Arts in Statistics and Data Science (SDS)
Bard College (New York) | Parami University
Dual undergraduate degree uniting rigorous statistical theory from Bard College with international data science practicums across education and trade policy.
Distinctions & Fellowships:
Life & Philosophy
Beyond Work.
Outside of work, I enjoy bowling, board games, badminton, and exploring new places. I'm also a fan of story-driven video games—the kind that makes you lose track of time. I also have a habit of picking up random interests just to understand how they work.
I rarely leave a board game unfinished, and I'm pretty good at bowling!
