kbommi
Data Analyst
I'm a Data Analyst at Uber, currently working on AI model benchmarking and evaluation for Google, Meta, and Anthropic. My core strengths are SQL, Python, and data modeling, and over the past several months I've been deliberately building toward Data Engineering, Data Science, and AI Engineering roles.
On the DE side, I've built a self-hosted streaming RAG pipeline using CDC (Postgres → Debezium → Kafka → Python → Ollama → Qdrant), and I'm currently working on a simple AI agent and deploy them on K8s, just so I could visit the MLOps side as well.
On the evaluation/AI side, I've designed structured SQL query evaluation frameworks across multiple domains (retail, hospitality, education, marketing) and built "stump prompts" — analytical tasks designed to expose failure modes in LLM code generation — along with automated grading rubrics to score model outputs against them.
I'm a fast learner who picks up new tools quickly under real deadlines, and I'm looking for a junior Data Engineer, Data Scientist, or AI Engineer role where I can bring that combination of strong fundamentals and hands-on infrastructure experience to a team.
Experience: 1 year
Yearly salary: $10,000
Hourly rate: $15
Nationality: 🇮🇳 India
Residency: 🇮🇳 India
Experience
Research Intern
SPACE APPLICATIONS CENTRE (SAC), ISRO 2023 - 2023
Built a Deep Learning Model to detect ships in SAR images for Maritime Surveillance by making use of CNNs. Made use of an anchor-free based transfer learning object detection algorithm (CenterNet) to achieve the objective. Reduced false positives by 18% through hyperparameter optimization and extensive experimentation. Performed the fine tuning of hyper parameters and was delivered impressive results with 81% mAP.
Skills
big-data
data-science
docker
grafana
kubernetes
sql
python
english
german