Hi, I'm
Utkarsh
Singh.
Machine Learning & Data Engineer — I build intelligent systems.
A computer-science engineer who actually likes the unglamorous middle of the stack: data pipelines, ML systems and real-time processing. Currently at CommentSold in Bengaluru — writing clean code, learning in public, and keeping a running log of what I'm into.
A pipelines person,
by practice.
~/about
Computer Science Engineer by training, a pipelines person by practice. Currently a Machine Learning & Data Engineer at CommentSold, working on big-data tooling, ML pipelines and real-time processing.
Over the past few years I've deepened my expertise through hands-on projects and study — seeking not just knowledge but judgement. I believe in building meaningful products, not just features: every line of code can help or hurt a business, so I commit to clean, maintainable, scalable solutions and regular refactoring to keep technical debt honest.
Outside of code I'm a tech enthusiast with a keen interest in AI, ML and data science, and a fondness for thoughtful debate — well-chosen discussions spark growth and new perspectives.
What I'm on, right now.
~/now
Real-time data at scale
Big-data tooling, ML pipelines and streaming at CommentSold.
MITx MicroMasters
Statistics & Data Science — depth over a rushed completion.
LLMs, RAG & agents
Generative AI in production — retrieval, evals, guardrails.
Rust & systems
Picking up Rust for the fast, boring, reliable layer.
Work.
~/work
ML & Data Engineer
Working with big-data technologies, ML pipelines, real-time data processing and building data pipelines at scale. Blending discipline with curiosity to ship clean, maintainable systems that earn their keep.
ML pipelines
Real-time data
Big data
Data Engineer
Built and scaled data pipelines and APIs for analytics workloads. Four years of hardening the unglamorous middle of the stack — the part that decides whether the graph stays flat or keeps paging people at 2 a.m.
Data pipelines
API development
Cloud
Study.
~/education
MicroMasters · Statistics & Data Science
Actively working through the program — prioritising depth of understanding over a rushed completion. Goal is to master the concepts before sitting the final capstone exam.
Data science
M.Sc. · ML, Data Science & AI
Deepened expertise across Machine Learning, Artificial Intelligence and Data Science — the theoretical grounding that makes the pipelines at work less mysterious.
AI · data science
B.Tech · Computer Science (Hons.)
Solid foundations in the core of computer science. Honours track, with a systems and algorithms focus.
Skills.
~/skills
Software Dev.
- Python
- Go
- TypeScript
- Rust
- Django / FastAPI
- Postgres
- Docker · k8s
Data Engineering
- Spark
- dbt
- Airflow
- Kafka · Flink
- Iceberg / Delta
- Terraform
- SQL (pg · presto)
Data Science
- Pandas · Polars
- Applied stats
- Experimentation
- Visualization
- NumPy / SciPy
- Forecasting
- Notebooks
AI & ML
- PyTorch
- LLMs · Transformers
- RAG · retrieval
- scikit-learn
- Vector DBs
- MLOps · serving
- Evals · guardrails
Projects.
~/projects
Sentinel
Context-repair layer for production RAG. Catches hallucinations via citation cross-checks and stitches in missing sources.
Conduit
Debezium → Iceberg with schema-aware merges. Handles 60M rows/hour without blinking.
Press
Tiny Rust static-site generator built around Pandoc. Incremental, typed front-matter, ~2k LOC. Powers this site.
Blog & notes.
~/writing
The Tech Paradox: Why Cutting-Edge Gadgets Can Stall Your Productivity
The latest essay — observability, idempotency and the small disciplines that keep intelligent systems honest. The canonical long-form lives on Medium.
Read the latest essays on Medium
→Building something intelligent?
I'm open to AI / ML roles, collaborations and the occasional advisory chat. Grab my résumé or send a note — I read everything.