Headline

Principal Engineer - MLOps & LLMOps @ Ace Turtle Services Ltd | Building AI Infrastructure

About

I lead the development of scalable, production-grade AI platforms at Ace Turtle Services Ltd. My work focuses on optimizing generative AI solutions, building unified MLOps frameworks, and ensuring cost-effective, high-uptime AI systems to support omnichannel retail technology. At Ace Turtle, I have designed and deployed AI innovations such as an enterprise AI Gateway to reduce LLM and cloud expenses, and a unified MLOps framework that accelerates AI delivery cycles. By integrating cutting-edge tools like Kedro, Ray, and Kubernetes, I help transform research models into production systems that drive tangible business value for the retail industry.

Location

Greater Bengaluru Area

AI stack

langgraph

ChatGPT

PydanticAI

Qwen

Stable Diffusion

vLLM

Work experience

Principal Engineer - MLOps at Ace Turtle Services Ltd, May 2022 - Present · 4 yrs 4 mos, Bengaluru · Hybrid, • Cut LLM and cloud spend by $500K+ (30% reduction) by architecting an enterprise AI Gateway using Apache APISIX and HashiCorp Vault, governing token consumption, secret management, and rate-limiting across all GenAI services — making generative AI economically viable at retail scale. • Reduced AI delivery cycles by 40% and achieved 99.9% production uptime by building a unified MLOps framework (Kedro + Ray + Kubernetes) that consolidated video analytics, recommendation, and demand forecasting pipelines — also accelerating model training 60% via Ray and pipeline throughput 50%. • Drove retail revenue impact by deploying production GenAI chatbots and a custom computer-vision size-recommendation engine (OpenCV, DeepFace) — cutting e-commerce returns by 20% and lifting ROAS 20% via AI-driven demand forecasting across 4 retail brands.

Lead Engineer at Ace Turtle Services Ltd, Dec 2017 - May 2022 · 4 yrs 6 mos, Bengaluru · Hybrid, Spearheaded the digital transformation of supply chain operations by building custom warehouse and inventory systems. Led the integration of AI/ML into core logistics workflows to drive automation and accuracy. Key Wins: * Supply Chain Optimization: Increased operational efficiency by 35% through the design and implementation of custom Warehouse Management Systems (WMS) and Inventory Management Systems (IMS). * AI-Driven Forecasting: Optimized supply chains by developing AI models to predict market demand, directly influencing inventory planning and reducing stockouts. * Scale & Reliability: Managed the end-to-end ML lifecycle for 16 nationwide institutions, ensuring low-latency inference and real-time system monitoring. * Data Engineering: Built and maintained scalable ETL pipelines to process large-volume logistics data, improving data accuracy for decision-making. * Full-Stack Automation: Streamlined manual e-commerce workflows using Python, Angular, and Node.js, significantly reducing manual intervention.

Adobe Campaign Developer at Adobe | Nichepro Technologies, Apr 2015 - Nov 2017 · 2 yrs 8 mos, Bangalore, • Built large-scale customer data pipelines (JavaScript, SQL) processing 10k customer records for personalization and segmentation campaigns at Adobe — the foundation that later informed my work on retail recommendation systems. • Optimized marketing automation workflows reducing campaign execution time by 20%, working directly with Fortune 500 brands on data integrity and audience targeting.

Education

Bachelor of Engineering - BE, Computer Science, Visvesvaraya Technological University