Senior AI Engineer • Generative AI, Agentic Systems, NLP, MLOps • Abu Dhabi, UAE

Seasoned AI engineer with 12+ years of experience building and shipping production ML and GenAI systems across healthcare, telecom, and insurance. Comfortable owning the full lifecycle, from problem framing and data engineering to model design, evaluation, safety, and deployment on cloud-native stacks.

• Senior AI Engineer at M42 Health, Abu Dhabi, building GenAI applications for healthcare providers, regulators, and patients.
• Strong focus on LLM-powered products: RAG, multi-agent workflows, Model Context Protocol (MCP), model fine-tuning, and production-grade evaluation.
• Increasingly focused on responsible AI: red teaming, guardrails, and regulatory compliance (EU AI Act, GDPR, PDPL, ADHICS).
• Enjoy working at the intersection of data, product, and engineering to deliver measurable business impact, not just models.

• GenAI & NLP: LLMs, SLMs, prompt engineering, fine-tuning, RAG, transformers, LangGraph, LangChain, Langfuse.
• Agentic AI & Governance: Multi-agent systems, MCP, long-term memory, red teaming, AI guardrails, policy-adherence testing.
• Multimodal & Speech: ASR, text-to-speech, vision-language models for real products like contact center AI and physician assistants.
• Applied ML: Classical ML (XGBoost, Random Forest, SVM), experimentation, and model interpretability for churn, lead scoring, and analytics.
• Systems & MLOps: Python, FastAPI/Django/Flask, microservices, LiteLLM, SGLang, OpenTelemetry, Docker, Kubernetes, Azure, AWS, Databricks, CI/CD for ML.
• Data platforms: SQL, MongoDB, Elasticsearch, Milvus, FAISS, Azure AI Search, Neo4j, Power BI.

• Natural-language analytics platform: turns plain-English questions into dynamic SQL and automated visualizations over clinical and environmental data, using LLMs, RAG, and MCP.
• Physician EHR assistant: a chat interface over patient Electronic Health Records (FHIR-formatted), built on a multi-agent framework with RAG to support faster, better-informed clinical decisions.
• Multilingual public health chatbot: serves multiple European geographies across text and speech, applying region-specific healthcare guidelines and local languages, with context-aware responses driven by conversation history and long-term memory.
• Agentic red teaming & compliance: an application that autonomously stress-tests GenAI systems for safety and privacy risks and validates compliance with EU (EU AI Act, GDPR) and UAE (PDPL, ADHICS) regulations.
• Genetic variant pathogenicity classifier: AI-assisted tool that pulls and interprets scientific literature and bioinformatics data, cutting analysis time by ~4 hours per patient.

• Airtel Digital (Lead AI Engineer): led a team of 6 building ASR- and LLM-powered contact center monitoring; lead mining on 200k+ daily calls (+10% lead conversion); intent classification and emerging-intent discovery for chatbots (+16% intent coverage).
• Microsoft (Data & Applied Scientist 2): drove AI analytics for Surface devices, with aspect-based sentiment analysis on Windows social media data, Feedback Hub mining to detect high-impact bugs, and telemetry pipelines guiding feature prioritization.
• Info Edge / Shiksha.com (Tech Lead): set up the NLP and integration teams, launched a virtual service agent for universities, and built multi-faceted college rating from feedback.
• EXL (Senior Consultant): ML products for insurance clients, including a churn prediction system for proactive retention.
• Earlier: chatbot AI modules at Tech Mahindra, ML for turbulence modeling at ANSYS, and process analytics at Reliance Industries.

• Languages: Python, SQL, C, Java
• ML / Data: PyTorch, PySpark, Pandas, scikit-learn, Statsmodels, XGBoost, Databricks
• GenAI: OpenAI / Azure OpenAI APIs, LangChain, LangGraph, Langfuse, MCP, LiteLLM, SGLang, RAG tooling
• MLOps & Cloud: AWS, Azure, Docker, Kubernetes, GitHub, Azure ML, Azure AI Foundry, OpenTelemetry
• Datastores: SQL, MongoDB, Elasticsearch, Milvus, FAISS, Azure AI Search, Neo4j

• B.Tech in Chemical Engineering from IIT Kanpur (CGPA 8.2/10).
• Over a decade of experience moving from process analytics and classical ML into large-scale GenAI and agentic systems.

• LinkedIn: https://www.linkedin.com/in/amitkiitk2013
• Email: amitk6925@gmail.com