Thishitha Yelike

WORK HISTORY

EDUCATION

ABOUT THISHITHA YELIKE

I’m a results-driven AI/ML python Engineer with 9+ years of experience delivering end-to-end scalable and secure AI solutions across healthcare, finance, and banking domains. My core focus is building reliable, compliant, and explainable ML systems—covering data ingestion, modeling, deployment, and monitoring. Specialized in classical ML, deep learning, NLP, and generative AI (LLMs like GPT-4, BERT, DistilBERT, fine-tuning with LoRA/QLoRA, and RAG). Experienced in prompt engineering and experimental frameworks to optimize LLM performance in production without ground truth metrics. Built semantic search and retrieval pipelines leveraging vector databases such as FAISS, Pinecone, and Weaviate with HuggingFace and OpenAI embeddings. Deployed containerized microservices using FastAPI, Docker, Kubernetes, and integrated CI/CD pipelines (GitHub Actions, Jenkins). Hands-on with MLOps and monitoring tools like MLflow, Prometheus, Grafana to detect model drift, hallucinations, and performance degradation. Passionate about delivering impactful AI solutions that align with business needs and regulatory compliance. Constantly exploring new GenAI innovations and open to collaborating on cutting-edge ML projects.