Naman Omar

AI/ML engineer specialising in Natural Language Processing (NLP), Large Language Models (LLMs), and multilingual modelling. Experienced in model fine-tuning, low-latency inference optimization, domain-specific embeddings, distributed system design, and MLOps-driven real-time AI deployment.

AI/ML Engineer Intern at Tifin Fintech AI (2025-08 – 2026-04)

• Built and deployed 15+ production-grade AI workflows and agentic architectures across 3 fintech products, improving automation efficiency by 40%+ and reducing manual operational overhead.
• Fine-tuned and optimized transformer-based NLP and retrieval models for financial document parsing, semantic search, and structured information extraction, improving response relevance and data accuracy by 30%.
• Engineered high-throughput low-latency inference pipelines serving thousands of requests, reducing time-to-first-token (TTFT) to nearly less then 1 second and accelerating production inference efficiency by 35%.
• Designed and evaluated domain-specific financial embedding architectures and built a comprehensive LLM evaluation framework with benchmarking, hallucination detection, retrieval scoring, and automated analytics across evaluation metrics.

Member of Technical Staff Intern – Applied AI at DevRev (2026-04 – Present)

• Optimized and evaluated enterprise LLM prompt pipelines and agentic workflows, improving response accuracy, task completion rates, and execution efficiency by across production AI systems.
• Developed workflow orchestration and AI security pipelines including guardrails, prompt validation, and policy enforcement mechanisms, enabling scalable and secure deployment of high-throughput Applied AI applications.

BTECH in Computer Science with specialization in AI and Data Science (Honors) – IIIT Kottayam (2022 – 2026)