Jul 2023 – Mar 2024 · 8 mos · Bangalore Urban, Karnataka, India · Remote

Jun 2023 – Present · 2 yrs 9 mos · India

• Building vishwa.ai for businesses to scale efficiently in the new era of Automation and AI.
• Our Products:
• LendingAI - Enabling Comprehensive Lending Risk Intelligence for B2B lending. Powering Banks & NBFCs to automate high value origination processes
• DocsAI - Agentic Document Extraction Platform with 98% accuracy
• We're hiring for sales and engineering roles! Contact us at hello@vishwa.ai
• Feel free to book a demo slot with us at https://cal.com/vishwa-ai/demo-30mins

Aug 2022 – Jul 2023 · 11 mos

• Lead Product & Architect of Percept perceptinsight.com, enabling intelligent ways to create faster insights
• Lead Netra Platform for Observability of all systems & Anomaly Detection on real-time data (status.udaan.io)
• Lead of ML Platform & MLOps Initiatives
• Driven the Externalisation charter for the Data Platform with a team of 15
• Collaborated with cross-functional teams and external organizations on cloud initiatives Contributed in various cost-saving initiatives to reduce cloud costs by 50%
• Responsible for Data Infrastructure and contributor to Cloud & Kubernetes Initiatives

Nov 2021 – Sep 2022 · 10 mos

• Building the Price Prediction & Consistency Engines for different product segments
• Pioneered & Bootstrapping MLOps Initiatives at Udaan
• Engineering the ML Platform for Udaan (A Guided & Managed MLOps lifecycle for Data Scientists)
• Engineering the Feature Store & ML Model Lifecycle Pipeline for seamless training with BigData using Spark and real-time low latency serving of ML Models
• Architecting the Data Discovery & Governance Initiatives at Udaan
• Engineering/Maintaining the Infrastructure inc. on-premises Kubernetes clusters, networking, Data Infrastructure, OSS Redis, Anycast and cross-region routing

Jun 2021 – Nov 2021 · 5 mos

• Building the Price Prediction & Consistency Engines for different product segments
• Engineering the Feature Store, ML Platform & ML Model Lifecycle Pipeline for seamless training with BigData using Spark and real-time low latency serving of ML Models
• Engineering/Maintaining Infrastructure Management & Monitoring Systems

Jan 2021 – Jun 2021 · 5 mos

• Building the Pricing Engine🚀

Aug 2020 – Dec 2020 · 4 mos · Bangalore Urban, Karnataka, India

• As part of backend team, I worked on and was responsible for key products including
• Central Authentication Service - A role based access control(RBAC) system built with Django, authenticates and provisions assets for more than 15 products which includes automatic creation of GCP assets like BigQuery, BigTable, GCS Buckets etc in addition to product specific roles.
• Pixel Service - which allows optimized cookie syncs from web and mobile apps and logs data via various publishers from optin users, built with GoLang. I'm also key member in migrating this service to kubernetes from docker
• Analytics SDK - Lightweight SDK library which allows clients to embed and capture various events very easily for performing analytics, I was also responsible for migrating this entire library to kotlin
• Match Service - Fetches data from Cloud Storage and performs different data mapping tasks automatically. In addition to maintaining this I was responsible for adding seamless multiple cloud stores support(GCS/S3/SFTP) also making this scalable to any new cloud stores in future
• In addition to this as part of telco team, we maintain multiple Data Ingestion/Mapping pipelines, which includes PySpark scripts and shell scripts running at scheduled intervals on different machines and configuring and monitoring alerts using Grafana/Prometheus via InfluxDB, BigQuery and Data Studio.

May 2020 – Jul 2020 · 2 mos · Bengaluru, Karnataka, India

• A part of Data Team at Udaan, I was responsible for Building and improving Data Platform, which includes key products is integrated Notebook that is based on Azure Databricks. Notebook allows users to code in Python, R & SQL.

May 2019 – Jul 2019 · 2 mos · Hyderabad Area, India