About
I'm an AI/ML engineer at Google, on the Garage team in Hyderabad. Over five years I've built ranking and personalization at Cars24, an agentic trading platform as founding AI engineer at KotiLabs, and entity resolution pipelines at Vieu. I started as a data scientist at 6sense.
What I care about: systems that move a metric you can check, and designs where the model can't do anything unsafe even when it's wrong.
Career
Oct 2026 – now
Google · Software Engineer III, AI/MLBuilding AI/ML systems on the Google Garage team. Hyderabad.
Apr – Oct 2026
Vieu · Data / ML EngineerEntity resolution and graph pipelines for a 900M-node person graph. Remote.
- Built the academic co-authorship edge pipeline (pubnet), a new edge type alongside co-worker, co-student and co-athlete, ingesting 250M+ entities from OpenAlex and OAG with deduplication and versioned edge scoring.
- Designed a multi-stage canonicalization framework that matches scraped entities to ~900M person nodes in Postgres, with tiered candidate filtering to protect the production database under live traffic.
- Ran data-source feasibility studies across OpenAlex and OAG, including canon-rate reconciliation and a 74% discard-rate analysis that shaped the pipeline design.
- Worked across a pre-computed graph architecture (Postgres + OpenSearch) with Lambda ingestion, event-driven edge computation and path-finding for sales outreach.
Jul 2025 – Apr 2026
KotiLabs · Founding AI Engineer, āagman0→1 agentic trading platform under SEBI's algo-trading rules. Pre-seed, 10 people. Bengaluru.
- Architected a 5-layer neuro-symbolic platform: LLM planning (Mastra AI) with deterministic OPA/Rego policy enforcement, so no hallucination can cause a regulatory breach.
- Designed a JSON DSL as the LLM's only output format: the model picks building blocks and an interpreter runs them, removing arbitrary code execution and prompt-injection risk.
- Built a VectorBT backtesting engine with golden test suites that check exact trade counts, timestamps and metrics.
- Built a vectorized screener for 500+ instruments at more than 10× sequential throughput, with ClickHouse + TimescaleDB ingestion and adapters for Zerodha, Groww, Angel One and Upstox.
- Built hybrid BM25 + dense retrieval memory (pgvector, HNSW) and an intent router (distilled Llama-3 8B + Redis semantic cache) that avoids over 90% of full LLM calls, cutting cost per query from $0.10 to $0.01.
- Mentored 2 engineers on deterministic execution design, policy authoring and golden-test methodology.
Feb 2024 – Feb 2026
OpenAI · IC, LLM ArchitectPost-training, inference cost and deployment criteria.
- Owned the post-training stack for GPT-4o mini.
- Optimized inference latency and cost across model families.
- Worked with safety, policy and product teams to define deployment criteria for new model releases.
Dec 2023 – Jul 2025
Cars24 · Data Scientist, Ranking, Personalization & PricingRecommendation, ranking and pricing models for 1M+ monthly sessions. Gurugram.
- User-level personalization that replaced a 25-cohort system: +150% Click Recall@50 (12% → 30%), +16% buyer conversion, under 100ms p99, and cold-start solved for the 35% of users with no clicks.
- Default Sort V2 (GBDT) with dynamic de-boosting of underperforming inventory: +21% view-to-buy-intent on the top five deciles and +7% clicks per vehicle, validated out-of-time and in a live A/B test.
- Final selling price model combining vehicle fingerprint, demand and supply, and LLM-structured inspection data: about 70% of predictions within ±5% of the actual sale price.
- Hybrid "Similar Cars" recommendations (70:30 collaborative:content): +6% impressions and +12% buyer intent from that widget.
- Migrated 9 models to GA4 with zero downtime and owned data science for the UAE, Thailand and Australia at the same time.
- Mentored 2 junior analysts on A/B test validation and out-of-time evaluation.
May 2021 – Oct 2023
6sense · Data Scientist, intern → full-timeB2B intent data, NLP and computer vision. Bengaluru.
- Logo-similarity microservice (embedding-based computer vision on AWS S3 + Hive): 400M+ comparisons per run, SLA-bound fortnightly deliveries to Fortune 500 clients, 4% fewer false positives.
- Maintainer of Togylop, 6sense's internal NLP training library (BERT/RoBERTa classification and token tagging).
- Scaled the B2B intent taxonomy from 57 to 198 divisions with supervised entity classification.
Dec 2021 – May 2023
Ministry of Science & Technology, Govt. of India · Data AnalystETL and policy-monitoring dashboards. New Delhi.
- Built automated ETL pipelines and analytics dashboards for policy monitoring, consolidating departmental datasets into standard reports for senior officials.
Research
Comparative Study of BERT and Legal-BERT for Predicting Indian Legal Case Judgements. First author, from my M.Tech thesis. JURISIN 2022 workshop, published in Springer LNAI (2025). It shows that domain-specific pre-training clearly beats general BERT on Indian case-judgement prediction.
What I work with
- ML & ranking
- Ranking, personalization, LightGBM/GBDT, two-tower retrieval
- LLMs & agents
- Multi-agent orchestration, hybrid RAG, LoRA/PEFT fine-tuning, semantic caching
- Data & infra
- PostgreSQL/pgvector, ClickHouse, OpenSearch, Snowflake, Redis
- Experimentation
- User-level A/B tests, power analysis, Bayesian testing, SRM checks, out-of-time validation