Open to opportunities

Jeevika Sakthivel

@jeevikasakthivel

Message

I build production computer vision and machine learning systems.

India

Message

What I'm looking for

I'm looking to build and deploy production AI systems, with opportunities to deepen my work in computer vision, Generative AI, RAG, and LLM-powered applications.

At Doers Tech Enterprise Solutions, I build and optimize scalable ML/DL inference pipelines using CUDA and TensorRT, reducing frame-processing latency by 35% and improving production throughput.

I've delivered 10+ production AI solutions and 15+ proof-of-concepts, supporting computer vision applications across 10+ deployments. Working with backend and DevOps teams, I containerize models with Docker and expose them through REST APIs for reliable production integration.

My work includes real-time PPE compliance monitoring, cross-camera person re-identification, and low-latency multi-object tracking. I also build RAG and LLM applications for research-paper intelligence and resume-to-job-description matching.

I'm expanding my work in Generative AI, RAG, and LLM-powered applications while building on a foundation in production AI systems.

Experience

Work history, roles, and key accomplishments

Current

AI / ML Engineer

Current

Doers Tech Enterprise Solutions

Apr 2024 - Present (2 years 4 months)

Engineered and optimized scalable ML/DL inference pipelines using CUDA and TensorRT, reducing frame processing latency by 35% and improving throughput. Led model evaluation and dataset refinement to improve model precision by 12%, and delivered 10+ production AI solutions and 15+ POCs.

CUDA TensorRT Docker REST APIs Model Optimization Computer Vision YOLOv8 OpenCV Python PyTorch MySQL

Education

Degrees, certifications, and relevant coursework

Bannari Amman Institute of Technology

Bachelor of Engineering, Electronics and Communication Engineering

2021 - 2025

Grade: 8.39 CGPA

Pursued a Bachelor of Engineering in Electronics and Communication Engineering with a minor in Data Science and Machine Learning, achieving a CGPA of 8.39.