Acquired by Thomson Reuters

product & platform & infra

• Engineered flagship customer-facing features, directly driving enterprise contract acquisitions, high-stakes sales demos, and fundraising

• Owned the company-wide Observability strategy from inception to adoption, driving vendor negotiations, Grafana architecture, and long-term telemetry standards

• Spearheaded the Data Gateway development and integration, establishing an architectural cornerstone that abstracts data access to drive system security and developer ergonomics

• Acted as the de facto DevOps lead, bridging backend architecture and cloud provisioning to build resilient, scalable systems

• Executed cross-functionally across frontend, backend, and infrastructure, delivering end-to-end solutions to support internal operations and high-growth product capabilities

Built infrastructure for services at Kyte

• Managed and contributed to infrastructure improvements, enhancing reliability, scalability, performance, and observability across compute, storage, security, network layers for engineering team, utilizing AWS, Terraform, Kubernetes, and DataDog

• Co-Led org-wide API Gateway adoption, coordinated with microservice owners to drive migration, improving security

• Enhanced observability and issue monitoring, achieving $48K/yr savings in telemetry ingestion, 10% faster database performance through query optimization, and improved pytest runtime via parallelization

• Proposed and led CI/CD pipelines and runners overhaul, reducing wait time by 75% (~6 dev-hours/day) and saving $12K/yr

• Automated backup and implemented disaster recovery for Vault and RDS (PostgreSQL) using Airflow, EKS, and ArgoCD

ML Infra/MLOps & Backend - $8m in funding, backed by Daniel Gross, Felicis Ventures, etc.

• Led end-to-end integration of large language models that powers core AI functionalities encompassing backend development, ML infrastructure, MLOps(model fine-tuning, serving/deployment, evaluation, and data wrangling & pipeline)

• Developed core backend components in Go, including ML service integration, A/B testing, content-based recommendation system, improving engagement and data-driven optimizations utilizing Postgres, ClickHouse, Elasticsearch

• Architected and maintained distributed GPU machine learning infrastructure using Kubernetes and Grafana, scaling to handle 1 million daily requests with 98% uptime while ensuring high availability, fault tolerance, and observability

• Cut infrastructure costs by $400K/yr through LLM inference optimization using concurrency tuning, batching, quantization

• Built data pipeline for extensive data wrangling of 15M+ data points and fine-tuned Large Language Models with curated data, increasing user satisfaction by 25% with Pandas, WandB, Axolotl

• 4th Employee

• Drove cross-functional product efforts in full-stack development using React Native, Express, and PostgreSQL, resulting in 10% increase in 7-day user retention and 50% longer session duration for 30K+ customers

• Collaborated with marketing team to develop and integrate granular tracking of user engagement metrics, funnel analysis, and revenue attribution, driving 50% improvements in user acquisition and enabling data-driven decision-making

• Architected and implemented ETL pipelines using Redis and PostgreSQL yielding 7% annual service costs savings

• Led development of natural language-driven data analysis and management dashboards using React.js, Express, and PostgreSQL, resulting in successful investor demos and early access to GPT models

• Implemented smart spreadsheet linked to databases and external platforms that enables better data management

• Built a self-serve onboarding system for new customers allowing for integration of multiple data platforms