Aug 2024 – Sep 2025 · 1 yr 1 mo · Bengaluru, Karnataka, India · Hybrid

• Leads the architecture and design of scalable AI/ML solutions, ensuring robust deployment and seamless integration into enterprise systems. Focusses on building and deploying ML pipelines to optimize model performance and drive operational efficiency across a range of projects.

Jan 2024 – May 2024 · 4 mos · Edmonton, Alberta, Canada · Remote

• Leading architecting/solutioning of specialized Agent driven Generative AI workflows.
• LLM based AI Agent orchestration & deployment.
• Acting as the liaison between senior management, R&D, Engineering, and client team.
• Managing client delivery of custom solutions

Nov 2022 – Feb 2024 · 1 yr 3 mos

• Data Science Leader, driving practice building initiatives
• Agile program Management of Data Science/AI driven Projects
• AI Strategy & Consulting
• Project Management & Program Management
• Thought leadership, Team & Stakeholder Management
• Generative AI advocate and practitioner - Generative AI retrieval augmented generation, Gen AI agents, Langchain , LLama Index, Semantic search/elastic search.
• Large language Models based information extraction and enrichment.
• LLM fine tuning and deployment
• Supervised and unsupervised ML model development
• Technical subject matter expert in computer vision and NLP domains.
• Strategizing, planning and developing multiple AI driven Apps for Insurance clients based on market
• requirements
• Cloud computing - MLOPs and Platform design - AWS - design deployment architecture using Sagemaker, Textract, lambda, API Gateways, step functions, S3, RDS,EC2, Sql/noSql - MongoDB and so on

May 2022 – Nov 2022 · 6 mos

• AI & Machine Learning: Pivotal in in the development of a comprehensive AI driven fraud detection & management solution for a Global Insurance Major. The project involved end to end development and deployment of AI based application using underlying ML & Natural Language Processing techniques, API end points, CI/CD, retraining pipelines using microservices and scalable architecture in AWS environment.
• Statistical modelling, OCR, NLP, Classic ML, Predictive modelling, Time Series forecasting.
• Supervised UI/UX development using html, css, JavaScript/ReactJS techstack
• Project management: Supervised a data science team with Agile/Scrum methodologies of 5 Data Scientists establishing scalable, efficient, automated processes for ML model development & deployment
• Computer Vision: Driving an internal CV research group over 7 people to democratize AI capabilities – Developed and demonstrated a comprehensive video similarity algorithm combining Frames/Audio/Text based similarities.

Nov 2020 – May 2022 · 1 yr 6 mos

Dec 2017 – Nov 2020 · 2 yrs 11 mos · Bangalore

• Data Science & Machine Learning:
• Pivotal in driving organization's ML practice.
• 1. Developed and deployed solution to Detect corrosion in pipelines using Computer vision,
• 2. Solution for Maintenance log classification with the use of classic & deep learning based NLP techniques
• As Python developer:
• Developed production grade python scripts for optimization algorithms and reservoir data Analysis. Used agile framework in Azure DevOps.
• Developed Reservoir data Analysis & visualization tools,
• pre/post processing tools.
• Reservoir Modelling and Simulations:
• Developed a reservoir simulator interface to be used by 20+ people across organization.
• Carbon capture and storage, sustainability
• Computer vision
• Process/workflow automation
• optimization using Linear programming

Jun 2016 – Jul 2016 · 1 mo · Hamburg Area, Germany

• Experimental test rig build-up for refrigerant flow testing(under deputation from Mercedes Benz).

Jun 2015 – Dec 2017 · 2 yrs 6 mos

• CFD Simulations using commercial CFD code Star-CCM+ and system level 1-D simulations using Dymola on Automotive HVAC systems enabling rapid product design and selection.
• Multiphase flow Moldelling using - Eulerian multiphase methods improving frictional pressure drop predictions.
• Cross platform results validation for Automotive HVAC Systems.
• Code development using MATLAB, Python as well as process automation.

Jul 2014 – Jun 2015 · 11 mos

Aug 2013 – Jul 2014 · 11 mos

• Worked in Underhood Thermal Management Team. Developed method for brake thermal analysis using commercial CFD code Star-CCM+, Coordinated with computational engineering and Design team.

Jun 2013 – Jun 2014 · 1 yr · Mangalore, Karnataka

Aug 2011 – Jul 2012 · 11 mos · Cochin Area, India

• Worked as HVAC systems design Engineer. Carried out design, detailed heat load estimation/analysis of projects, coordination and cost estimation of projects, Coordinated with Electrical and Civil team.