Experience

My AI/ML experience began with an internship in 2021. Since then, my work has covered embedded computer vision, production ML systems and enterprise AI consulting. The chronology below separates each role and its responsibilities.

1. 2 February 2026 – present

   Cervello India Pvt Ltd

   A Kearney company

   Senior Integration Consultant – Analytics & Information Management

   Bangalore

   Functional responsibilities: client-facing Applied AI and forward-deployed engineering.

   AI orchestration & backend engineering

   • Worked directly with client technology leaders, senior developers and accountants to understand financial metrics and calculation methods.
   • Translated those requirements into SAP-connected Python analytical tools and agent workflows, contributing to team-built systems using FastAPI and LangGraph.
   • Worked on enterprise data integration, KPI lineage and reconciliation, testing and observability.

   Process knowledge & retrieval

   • Engineered backend and knowledge-repository capabilities for process documentation and searchable knowledge.
   • Contributed asynchronous job orchestration, semantic chunking and embedding, and hybrid vector and governed SQL retrieval.

   Responsibilities are described at a high level. Client work is confidential; portfolio demonstrations use fictional content.

2. Aug 2024 – 2026

   Solum

   AI/CV & ML Systems Engineer

   Bangalore

   Computer vision & deployment

   • Designed and operationalised multi-camera retail shelf-vision pipelines with YOLOv7/v9, TensorRT and LightGlue.
   • Delivered sub-200 ms responses at 15–20 FPS, with CI/CD model deployment.

   ML serving & log intelligence

   • Built hot-reload RFID ML-serving APIs integrated with Azure Event Hubs and MongoDB.
   • Built LLM-powered log investigation using fuzzy clustering, ReAct-based LangChain agents and locally hosted LLaMA models.

3. Aug 2022 – Jul 2024

   Ignitarium

   AI Engineer

   Bangalore

   Previously AI Intern
   Jun 2021 – Jul 2022

   Edge AI & model optimisation

   • Led architectural refinement of FastestDet, achieving a 35% accuracy improvement.
   • Deployed real-time detection models on Renesas microcontrollers.

   Industrial vision & language systems

   • Designed RGB-D reconstruction and binocular-vision pipelines for industrial defect detection.
   • Developed domain-specific LLM Q&A systems for railway, telecom and solar applications.

   Sony — selected client engagement

   Feb 2023 – Dec 2023

   • Built and optimised object-detection and segmentation models for embedded devices, including IMX500 smart cameras.
   • Used transfer-learning workflows to reduce training time and integration effort.

4. Aug 2020 – Dec 2021

   Earlier work

   Freelance teaching assistant

   Coimbatore

   Freelance teaching assistant alongside postgraduate study.