Distributed systems, data platforms, and the occasional supernova.
Nine years building backends, ML pipelines and geospatial products that serve more than 10 million users. I write about the papers behind them, and I'm building Starithm to turn real-time astronomy alerts into structured intelligence.
Raft AI
Scalable AI infrastructure and data-intensive systems as an IC-L4, owning architecture for core engineering initiatives.
Starithm
NovaTrace ingests multi-messenger alerts in real time. React microfrontends, TypeScript APIs, Python ingestion, Postgres, Kafka.
2 Cents at Coreforge
A thought journal on Substack. Everyday thoughts from everyday monotony, written down as they come.
What I work with
Grouped by the layer I actually spend time in, rather than every tool I have ever opened once.
Work
Nine years, five teams, one throughline: systems that stay correct at scale.
Raft AI
Building scalable AI infrastructure and data-intensive systems. Driving architectural decisions and execution for core engineering initiatives.
Starithm
AI-powered astronomy event intelligence platform bridging the gap between real-time multi-messenger astronomy alerts and actionable structured intelligence.
- Built NovaTrace (MVP) to aggregate and process astronomical alerts.
- Architected React microfrontends, TypeScript APIs, Python ingestion, PostgreSQL, Kafka.
- Engineered real-time streaming ingestion and event-based aggregation logic.
Aurora Energy Research
- Owned and scaled a complex geospatial maps product used for energy infrastructure analysis.
- Architected internal Gen-AI Knowledge Chatbot from scratch using LangGraph and AWS Lambda.
- Optimized historical and real-time energy ETL workflows.
Urban Company
- Designed automated monitoring for 10+ micro-frontends.
- Built image monitoring pipeline saving 2TB/day in CDN transfers.
- Designed subscription product contributing 23% of revenue.
- Architected internal TypeScript-based frontend framework (Orion).
Tata Digital Health (Tata 1MG)
- Built pharmacy support dashboards and implemented secure S3 file uploads.
- Built face-recognition API using AWS Rekognition.
- Optimized SEO search algorithms.
Projects
Astronomy, ML and large-scale data. Mostly things I started because a paper made me curious at 1am.
Space Debris Detection and Trajectory Prediction
Built a two-part system for orbital debris management using ML classification and trajectory modeling.
- Applied SMOTE balancing for rare debris classes in detection models.
- Modeled 5.8M+ orbital time-series entries to predict position and velocity vectors.
Measuring Hate Speech Exposure Across Algorithmic Feeds on Bluesky
Developed an ensemble moderation auditing pipeline to evaluate toxicity exposure across algorithmic feeds on Bluesky.
- Combined Detoxify, CardiffNLP, Dynabench transformer classifiers with Mistral LLM.
- Introduced new metrics: Toxicity Leak Score and Feed Toxicity Divergence.
- Analyzed 150k+ posts, identifying toxicity leakage disparities up to 10%.
Exoplanet Detection using Machine Learning
Designed ML pipeline for transit detection from light curves.
- Implemented CNN-LSTM architecture and custom transit dip feature engineering.
- Conducted temporal-spectral modeling and XGBoost baseline comparisons.
Activity Recognition using MHI and Hu Moments
Video classification using Motion History Images and Hu Moments with ML classifiers.
Solving Raven's Progressive Matrices using KBAI
Knowledge-based AI approach to solving Raven's Progressive Matrices.
Crossmatching Catalogs using kd Trees (Nearest Neighbor)
Crossmatching astronomical catalogs using kd-tree nearest neighbor search.
Writing
Deep dives on scalable backends, ML architecture and turning unstructured data into structured intelligence. Plus 2 Cents at Coreforge, where I think out loud about ordinary days.
Conversations with Codents: Episode 2 — Where Agent Disagreed With Itself
Read on Medium ↗- Conversations with Codents: Episode 1 — What Code Helps You Think Faster?
- How We Made a React SPA Visible to AI Crawlers Without Switching to Next.js
- What makes robots human?
- 🍇 Chardonnay: Architecture That Rewrote the Rules of On-Disk Distributed Transactions
- My First Experience with Gender Bias
- Training AI in space?
- Building better Data Engines — Meta's 3 Stage Data Engine & SAM
- Building better Data Engines
- Breaking Neural Scaling Law by Pruning Data
- Houston, We Have a Planet! — It's a wrap.
- Houston, We Have a Planet! (Part 4) — Feature Engineering and Classifiers
- Houston, We Have a Planet! (Part 3) — CNN-LSTM models
- Houston, We Have a Planet! (Part 2) — Accessing Data and Understanding FITS
- Houston, We Have a Planet! (Part 1) — Understanding Light Curves
- DSIPTS: The Standardized Solution for Time Series Forecasting
- Sharper Searches with Pseudo Relevance Feedback
- Productivity Experiment
Reading list
Yes, I have read these. Most of them. The ♥ ones more than once, the * ones only where a library let me in.
Currently Reading5
Books [Only My Favs]17
- Weapons of Math Destruction – Cathy O'Neil
- The Brain – David Eagleman
- QED – Richard Feynman
- The Ascent of Gravity – Marcus Chown
- Genius Makers
- MIT Press: AI Ethics
- Deep Work – Cal Newport
- Emotional Intelligence
- A Brief History of Time – Stephen Hawking
- Work Rules
- The Psychology of Money
- Soonish
- The Brain
- Notes on a Nervous Planet
- QED – Richard Feynman
- Our Mathematical Universe
- Sapiens: A Brief History of Humankind
Distributed System & Algorithms Papers12
Deep Learning17
- Vision Transformers
- Neural Machine Translation by Jointly Learning to Align and Translate
- Effective approaches to Attention based Neural Machine Translation
- Attention is all you need♥
- Image Style Transfer using CNNs
- Intriguing properties of Neural Networks
- Taxonomy
- Weight Agnostic NNs♥
- Everybody Dance Now
- NIPS 2016: GANs Tutorial♥
- Tutorial on Variational Autoencoders
- Matrix Calculation you need for ML
- Google Deep Mind: Griffin – Local Attention
- Deconvolution of Astronomical Images by Deep Learning
- Addition is all you need♥
- Weakly Supervised Anomaly Detection in Milky Way
- DSIPTS
Next (To Read)20
- Efficient Recoverable CAS*
- Calvin
- Spanner : Improvements
- CockroachDB
- Solving Gravitational N body problem using NNs
- KANs
- Consistency and Availability in Real-Time Distributed Systems
- Chubby Lock Service - Google
- Astronomaly
- Hyperspectral Image Classification Based on Superpixel Pooling CNN
- Efficient Algorithms for Earliest and Fastest Paths in Public Transport Networks
- NeRF in Robotics
- Hallucinations of MLLMs
- Root To Leaf Scheduling in Write Optimised Trees
- Cockroach labs Paper
- Alice in Wonderland : LLM
- Human centric view of model monitoring
- X+Y
- Audio Meta Paper
- Prod2Vec
Tech Books8
- Designing Data Intensive Applications
- Designing Machine Learning Systems
- Machine Learning Design Patterns
- Fundamentals of Data Engineering
- Clean Code
- Structure and Interpretation of Computer Programs
- You Don't Know JS
- Hundred Page Machine Learning Book
Want to Read1
- Crucial Conversations – Patterson, Grenny, McMillan, Switzler