Oct 2021 – Jan 2025 · 3 yrs 3 mos

• An Agentic AI platform that transforms complex data into actionable insights through advanced data processing powered by AI/ML, LLM, and more.
• As the founding backend engineer and tech lead, I built the core architecture and led major backend/infrastructure projects, managing a team of engineers and collaborating with Business, Product, and Design.
• Some of my favourite projects:
• No-Code Agentic AI Platform: Flagship offering to build AI workflows connecting 100+ external data sources, and 100+ operations including AI/LLM transformations, search, model training, document processing, enrichment.
• Data Intelligence Platform: Developed a platform for executing 50+ types of machine learning
• operations such as automatic data quality assessment, data profiling, vectorization, topic modeling, PII, NER, etc.
• Data Relabeling Workbench: Developed solutions for dataset relabeling including manual, rule-
• based weak supervision, and automated relabeling with minimal user input.
• Deployments: Built support for on-prem deployment of MarkovML on any cloud, including AWS Gov Cloud.

Apr 2020 – Oct 2021 · 1 yr 6 mos

• Worked here from Series B through post Unicorn valuation. I contributed to projects related to scaling the platform - from hundreds of active users to over hundreds of thousands. Contributed to critical initiatives in disaster recovery compliance and system resiliency.
• Enterprise Bulk Operations: Built support for bulk actions; as Mindtickle tenants grew to include clients with 100K+ users (e.g., AWS, HP, LinkedIn), core workflows that were previously one-by-one could now be executed in one go with real-time status updates via in-app notifications and emails.
• System Overhaul: Migrated critical core backend Java monoliths from REST to new GRPC systems, a (tedious) systemwide overhaul of the backend.
• API Modernization: Rewrote (a lot of) APIs to support an extensive modern makeover of the platform.
• Created monitoring dashboards on Kibana, Sumo Logic, and Datadog to track the health of critical workflows. Initially built out of curiosity for myself, these were quickly adopted, and replicated by the other engineering teams.

Jun 2018 – Apr 2020 · 1 yr 10 mos

Jun 2017 – Aug 2017 · 2 mos

• Contributed​ to cclib project​ of​ Open Chemistry.
• Implemented file writers ​to transform data generated by ab-initio QM calculations to the Molden and WFX formats.
• This work bridges most major QM calculation packages with software programs used for visualizing and running calculations on electronic wave function related data.

Aug 2016 – Dec 2016 · 4 mos · Greater Hyderabad Area

• Course: CNS Lab
• Instructors: Dr. Prabhakar Bhimalapuram and Dr. U Deva Priyakumar
• Helped students program simple Monte Carlo - Metropolis simulations, classical molecular dynamics simulations, minimization methods, and understand quantum mechanical calculations.

Jan 2016 – Apr 2016 · 3 mos · Greater Hyderabad Area

• Course: Modeling and Simulations
• Instructor: Dr. U Deva Priyakumar
• Conducted programming lab sessions covering basics of Molecular Dynamics simulations, and Monte Carlo based importance sampling methods.