Usha Bhat

Technical Leadership: Senior AI/ML Technical Lead with 6+ years of engineering excellence, directing cross-functional engineering teams, managing full-lifecycle ML/LLM projects from architecture to scalable production deployment, and bridging technical roadmaps with business milestones.

Generative AI & Architecture: Specialized in fine-tuning Large Language Models (Mistral, Llama 3), building Retrieval-Augmented Generation (RAG) enterprise platforms, and deploying multi-agent workflows using LangGraph and MLOps pipelines.

Computer Vision & Edge AI: Deep expertise in high-precision object detection, segmentation, and feature matching using OpenCV and TensorFlow; architecting end-to-end edge AI solutions deployed in edge devices.

Research & Academic Excellence: M.Tech University Ranker (3rd Rank, VTU) backed by extensive peer-reviewed international publications in medical imaging.

Availability Status: Currently serving notice period with Last Working Day on September 30th, 2026; seeking opportunities with immediate onboarding.

Senior AI/ML Engineer & Team Lead - Alten Global Technology Solutions

(2022-09 - 2026-09)

Lead a high-performing team of 6 engineers in architecting, developing, and deploying full-lifecycle enterprise machine learning solutions.

• Leadership & Team Direction: Lead a high-performing team of 6 engineers in architecting, developing, and deploying full-lifecycle enterprise machine learning solutions.
• Edge AI Optimization: Spearheaded the optimization of Computer Vision pipelines for edge environments (Nvidia Xavier), achieving real-time inference speeds via TensorRT and CUDA acceleration.
• Generative AI Innovation: Architected generative AI workflows and fine-tuned LLMs to establish RAG-based automated technical documentation and internal R&D intelligence platforms.
• Enterprise MLOps Implementation: Implemented automated CI/CD and MLOps pipelines using GitHub Actions and Azure DevOps for model evaluation, unit testing, and containerized deployment across edge and cloud environments, reducing release cycle times by 40%.
• Stakeholder Management: Directed client communication and technical presentations, successfully translating complex AI roadmaps into actionable business milestones for international stakeholders.

Software Engineer (Machine Learning) - Pixuate (Cocoslabs Solutions)

(2020-11 - 2022-09)

• Developed and deployed end-to-end AVC (Automatic Vehicle Classification) and OCR systems for intelligent traffic management.
• Improved OCR accuracy by 15% for diverse license plate formats by implementing custom deep learning architectures and robust image preprocessing techniques.
• Scalability: Streamlined data annotation and model training loops, reducing the deployment cycle for new geographical regions by 25%.

Research Scholar (AI & Medical Imaging) - Center for Imaging and Technologies (CIT)

(2018-03 - 2020-09)

• Engineered an AI-driven screening tool for early-stage breast cancer detection using Thermal Imaging (Thermography).
• Published peer-reviewed research on automated pattern recognition and anomaly detection in thermal datasets, contributing to non-invasive diagnostic methodologies.
• Collaborated with clinical experts to validate ML model outputs against biopsy results, ensuring high sensitivity and specificity in medical predictions.

Assistant Professor (ECE Department) - Yenepoya Institute of Technology

(2010-07 - 2014-05)

Mentored 200+ students in Digital Image Processing, Signal Processing, and Embedded Systems.

• Designed curriculum and led laboratory sessions, bridging the gap between theoretical electronics and practical software implementation.

M.Tech - Electronics - Yenepoya Institute of Technology (Sir.MVIT, Bangalore) (2017)

Bachelor of Engineering - E & C - VCET, Puttur (2010)