Open to opportunities

kavin km

@kavinkm

Message

AI/ML Engineer building scalable ML systems and AI-powered applications across backend and cloud deployments.

Zimbabwe

Message

What I'm looking for

I’m looking for a role where I can build and deploy production-grade ML/NLP systems end-to-end—combining backend APIs, data pipelines, and cloud infrastructure—while creating fair, explainable AI that improves real business outcomes.

I’m an AI/ML Engineer with 2+ years of experience building scalable machine learning systems and AI-powered applications. I specialize in Python, model deployment, and cloud workflows using AWS and Docker, with a strong focus on production-ready implementations.

At Synovers (Jan 2022 – Sep 2024), I designed and deployed scalable backend systems using Python and REST APIs. I built and optimized data pipelines, reducing processing time by 30%, and developed ML models improving prediction accuracy by 20% through hyperparameter tuning.

I also deliver impactful AI projects: my Brain ADHD Prediction System applies Logistic Regression and Decision Tree, with fairness and explainability via SHAP. In my GenAIChatbot (RAG-based AI system), I built an LLM + FAISS pipeline, improved semantic search relevance by ~25%, and deployed backend APIs for real-time interaction on cloud infrastructure.

Experience

Work history, roles, and key accomplishments

Artificial Intelligence Engineer

Synovers

Jan 2022 - Sep 2024 (2 years 8 months)

Designed and deployed scalable backend systems using Python and REST APIs, building data pipelines that reduced processing time by 30%. Built and deployed ML models that improved prediction accuracy by 20%, and integrated ML into production-ready microservices using Docker on cloud platforms (AWS/Azure).

Python REST APIs Machine Learning Data Pipelines Docker AWS Azure RAG Faiss SQL

Education

Degrees, certifications, and relevant coursework

Sri Krishna College of Technology

Bachelor of Engineering (B.E.), Electronics & Communication Engineering

Completed a B.E. in Electronics & Communication Engineering.

University of Essex

Master of Science (M.Sc.), Electronics

Completed an M.Sc. in Electronics with work spanning Python/REST backend design, data pipeline optimization, and deploying ML-powered services using Docker and cloud platforms. Built projects including an ADHD prediction model and a RAG-based GenAI chatbot with FAISS and LLM integration.