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A highly motivated and experienced cloud engineer with a knack for solving problems using cutting-edge ML/DL techniques and implementing solutions leveraging cloud-based infrastructure. Experience in delivering end-to-end Machine Learning projects with the capability to handle all Data Science Life Cycle Tasks like designing and scoping the , Model development, experimentation and deployment, MLOps, Data governance and exploration in multiple domains. A team player with good communication skills and a passion for staying up-to-date with the latest technology advancements in the field of Cloud and AI.

Backend-focused GenAI engineer building production LLM applications multi-agent systems, RAG pipelines, and REST APIs in Python/FastAPI seeking a high-growth product or funded-startup environment.

Senior AI Engineer with 5+ years building end-to-end AI systems — from data curation, model training and fine-tuning to inference optimization and production deployment.Currently at Livepeer working on real-time video diffusion models and AI infrastructure. Previously at Sprinklr (4+ years) building production ML at scale — LLM agents, NLP, computer vision, and ML infrastructure serving enterprise clients.I go beyond black-box usage — I understand the full stack from model architecture to GPU serving and like to build systems that are fast, reliable, and cost-efficient.Areas: LLMs, AI Agents, Generative AI, Diffusion Models, NLP, Computer Vision, Model Training & Fine-Tuning, Inference Optimization, TensorRT, PyTorch, Transformers, MLOps, Distributed SystemsOpen to Senior AI/ML Engineer, Forward Deployed Engineer, Applied AI Scientist, or Founding Engineer roles.

AI engineer with 4+ years shipping production LLM and multimodal systems end-to-end. Currently at I'mbesideyou Inc. building agentic AI infrastructure — multi-tenant RAG pipelines for enterprise clients like NTT DATA, multimodal SOP-generation systems deployed across 3+ organizations with 100+ operators, voice AI agents on Vapi and LiveKit handling 1,000+ calls, and LLM evaluation frameworks with automated regression gates.Previously built and productionized clinical AI: a multimodal depression-severity model (83% accuracy, 350+ patients) that contributed to an FDA Breakthrough Device Designation application, and an LLM-based SOAP note generation system that cut clinician documentation time by 70%.Areas of expertise: Agentic AI · Multi-agent systems · RAG (Qdrant, FAISS, cross-encoder reranking) · LLM fine-tuning (LoRA/QLoRA, DPO, RLHF, preference optimization) · LLM evaluation & observability (Langfuse, LLM-as-judge, RAGAS) · Prompt engineering · Voice AI (Vapi, LiveKit) · Multimodal ML · Clinical AI · Production MLOps · LangGraph · Pydantic · FastAPI · PyTorch · AWS · PythonPublished: "A Practical Approach to Predicting Depression" — Health Informatics Journal (2024)Published: "Chatbot Interventions for Depression & Anxiety" — European Health Psychology Society (2025)IIT Hyderabad, B.Tech Engineering Physics (CGPA: 8.48/10). Transferable H1B, immediately available for US relocation. Open to Senior AI Engineer, ML Engineer, and Applied AI roles.

As an AI Engineer at V-Labs, I apply my machine learning skills and knowledge to design, develop, and deploy innovative AI solutions for various domains and clients. I work with a team of talented and passionate engineers, researchers, and developers, who share my vision of creating impactful and meaningful AI applications that can solve real-world problems and improve lives.I have a strong academic background in machine learning, having completed my Master's degree from National Institute of Technology Karnataka, one of the premier engineering institutes in India. I also have a keen interest in programming and data science, and I am pursuing an online B.Sc degree from Indian Institute of Technology, Madras, another prestigious institution in the field. I have earned multiple certifications in Python, data science, and calculus.My goal is to continuously learn, grow, and challenge myself as an AI Engineer, and to contribute to the advancement and democratization of AI. I am always eager to explore new opportunities, technologies, and domains, and to collaborate with other professionals, experts, and stakeholders in the AI ecosystem. I believe that AI has the potential to transform the world for the better, and I am excited to be a part of this journey.