Headline

IoT & Edge AI Engineering Leader | R&D | Connected Products | Product Engineering

About

I build and lead engineering teams that turn complex IoT, Edge AI and connected-product concepts into products that operate in the real world. I currently lead a 20-member cross-functional R&D organization spanning electronics, embedded/firmware, AI, cloud and software engineering, with responsibility across product architecture, technology roadmap, feature prioritization, engineering execution, field validation and product evolution. My experience sits at the intersection of IoT + Edge Computing + AI + Product Engineering + Field Deployment. I have worked across the complete product lifecycle — from identifying real customer and field problems, translating them into product requirements and technical architecture, selecting technologies and vendors, coordinating engineering teams, validating systems in the field, and driving product improvements based on real-world data and user feedback. One of my key areas of work has been building connected agriculture systems combining: • Soil and environmental sensing • Weather monitoring • Embedded/edge devices • Industrial and field connectivity • Real-time data pipelines • AI/ML models • Forecasting and recommendations • Cloud/data infrastructure • Farmer-facing decision-support systems Our platform has been deployed and validated across commercial coffee-estate environments, bringing together multi-parameter IoT sensing and AI to support data-driven agricultural decisions. My technical exposure includes MQTT, Kafka, REST APIs, Modbus, CAN, RS-485, LoRaWAN, BLE, Wi-Fi, NB-IoT, InfluxDB, Grafana, Prometheus, ELK/data pipelines, embedded systems and Edge AI. Beyond technology, I work heavily on the product and business side — understanding customer problems, prioritizing features, making build/buy decisions, allocating engineering resources, working with vendors, supporting customer discussions and driving products from engineering concept toward field deployment and commercialization. I enjoy solving problems where hardware, software, AI, connectivity and real-world operations meet. If you are building connected products that need to move beyond prototypes and operate reliably at scale, I would be interested in connecting.

Location

Karnataka

AI stack

aistudio

anthropic apis

antigravity

claude code

hermes agent

kimi

Work experience

Senior Research Development Manager at VayuBlue, Oct 2024 - Present · 2 yrs 2 mos, On-site, Edge-AI Power Management: Designed and deployed a localized Edge-AI Battery Management System (BMS) utilizing localized charging and discharging telemetry models to autonomously optimize battery specification per site; accomplished 100% field reliability across all deployed fleets. ₹1 Crore+ Cost Reductions (VAVE): Led a Value Analysis & Value Engineering (VAVE) restructuring across hardware and procurement — BOM optimization, supplier renegotiation, DFM/DFA changes — for ₹1 Crore+ in capital hardware savings with no performance compromise. Scalable Telemetry Platform: Built low-latency data ingestion pipelines (MQTT, Kafka, InfluxDB) and a secure fleet-wide OTA firmware deployment system, and layered in Gemini/Claude-based multi-agent orchestration to remove manual bottlenecks in the edge-to-cloud data flow. End-to-End Ownership & Revenue Impact: Drove decision-making across the full value chain — R&D procurement strategy, customer feedback loops, and cross-functional execution — translating field insights into product and sourcing decisions that directly grew unit sales. Intellectual Property & Innovation: Author of 7 utility and design patents filed during this tenure covering edge-intelligence, adaptive charging algorithms, and smart grid automation, establishing a culture of rapid innovation. 1st Place / Best Oral Presentation, 2026 National Conference on Next-Gen Systems — presented field data from 40 active commercial deployments.

Software Engineer – DevOps & Cloud at ITVision360, Jul 2022 - Feb 2024 · 1 yr 8 mos, Hyderabad, Telangana, India, Architected and implemented scalable DevOps and cloud infrastructure solutions for enterprise clients, driving automation, reliability, and deployment velocity across multiple product lines. Key Achievements: ▸ Increased release frequency by 20% by automating CI/CD pipelines using Jenkins, GitHub Actions, and Docker — reducing manual deployment effort significantly ▸ Deployed and managed cloud infrastructure on AWS (EC2, S3, Lambda, CloudFormation) supporting high-availability production workloads ▸ Implemented Infrastructure as Code (IaC) using Terraform and Ansible, reducing provisioning time by 40% ▸ Built centralized monitoring and alerting systems using Prometheus, Grafana, and ELK Stack — improving incident response time by 35% ▸ Managed Linux server environments (Ubuntu, CentOS) including security hardening, patching, and performance tuning ▸ Collaborated with cross-functional development teams to establish GitOps workflows and containerization strategies using Kubernetes ▸ Automated repetitive operational tasks using Python and Bash scripting, saving 15+ hours/week in manual operations Tech Stack: AWS · Docker · Kubernetes · Jenkins · Terraform · Ansible · Python · Linux · Prometheus · Grafana · Git · CI/CD

Assistant Professor & R&D Lead at KL University, Aug 2015 - Jun 2022 · 6 yrs 11 mos, Guntur, Andhra Pradesh, India, Led R&D initiatives in IoT, Additive Manufacturing, and Embedded Systems over nearly 7 years, bridging academia and industry through hands-on product innovation, research, and student mentorship. Key Achievements: ▸ Established the university's first IoT and Additive Manufacturing research lab, securing ₹15 Lakh+ in equipment funding ▸ Filed 22 design registrations and 2 utility patents across IoT, AI/ML, and smart automation systems ▸ Published 10 research papers (9 Scopus-indexed + 1 SCI-indexed) in peer-reviewed international journals Research Areas: IoT Product Design · Machine Learning · Additive Manufacturing · Embedded Systems · Industrial IoT

Assistant Professor at Kumaraguru College of Technology, Aug 2013 - Aug 2015 · 2 yrs 1 mo, India, Taught 200+ students annually across mechanical engineering courses while contributing to departmental research and curriculum development. ▸ Conducted and published 3+ original research papers in peer-reviewed academic journals ▸ Introduced hands-on 3D prototyping and CAD-based design labs using SolidWorks and AutoCAD

Independent Contractor — Engineering Design at Self Employed, Apr 2010 - Jul 2013 · 3 yrs 4 mos, Oxford, England, United Kingdom, Triz concepts, DoE and Engineering Design for mobility vehicles

Education

Doctor of Philosophy - PhD, Applied Machine Learning for Additive Manufacturing, kl university

Master's degree, Advanced Engineering Design, Oxford Brookes University