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Team Lead | M.Tech AI (IIT Patna) | 10+ YOE | Specializing in On-Device SLMs, Quantized Transformers & Mobile Intelligence, LLM, AWS
As a results-driven Engineering Leader & AI Specialist, I specialize in architecting scalable, intelligent, and secure Edge-First platforms that power mission-critical enterprise operations. My work bridges the gap between Native Mobile Engineering, Cloud Intelligence, and On-Device AI, enabling real-time decisioning through SLM-powered, Agentic, and privacy-preserving solutions. I lead and scale high-impact, cross-functional teams to deliver enterprise-grade mobility ecosystems that handle massive scale (processing terabytes of data and billions in revenue transaction flow). With a strong foundation in Engineering Strategy and Technical Leadership, I foster a culture of ownership and continuous innovation, mentoring engineers to transition from legacy code to AI-native architectures. My technical expertise spans Distributed Systems, Mobile Architecture (Android/iOS), and the Productization of Edge AI. I bring hands-on experience with Python, Kotlin, Swift, FastAPI, and AWS to design resilient, offline-first systems. I drive engineering efficiency by implementing robust CI/CD pipelines, ensuring automated testing, rapid deployment, and high availability for complex AI-driven applications. In the AI/ML domain, my specialization includes: Generative AI & Agents: Building autonomous workflows using LangChain, LangGraph, and RAG pipelines. Edge Optimization: Expert in deploying Quantized Transformers (Post-Training Quantization, Knowledge Distillation) on mobile NPUs using TFLite and ONNX. Core ML: Extensive work with PyTorch, TensorFlow, Hugging Face Transformers, and Open-Source SLMs (Llama-3, Phi, Gemma). Currently pursuing an M.Tech in AI at IIT Patna, I am passionate about Small Language Models (SLMs), Speculative Decoding, and Multi-Teacher Distillation. My focus is on advancing AI efficiency—building platforms that combine deep technical innovation with me
Gandhi Institute Of Technology and Management GITAM
Bachelor's degree, Electrical Engineering
January 1, 2011 – January 1, 2015
Indian Institute of Technology, Patna
Master of Technology - MTech, Artificial Intelligence & Data Science Engineering
N/A – Present
Indian Institute of Technology, Patna
Master of Technology - MTech, AI & DSE
N/A – Present
TP Western Odisha Distribution Limited
Team Lead - Mobility
August 1, 2022 – Present
Bhubaneswar, Odisha, India
ProcessMAP Corporation
Senior Software Engineer - ( Research & Development )
April 1, 2021 – July 1, 2022
ProcessMAP Corporation
Software Engineer II - ( Research & Development )
April 1, 2018 – April 1, 2021
ProcessMAP Corporation
Software Engineer I - ( Research & Development )
April 1, 2017 – April 1, 2018
ProcessMAP Corporation
Software Engineer 1 - ( Product Developer )
January 1, 2017 – April 1, 2017
Mobiona Software Solutions Pvt. Ltd.
Software Engineer
January 1, 2016 – January 1, 2017
Bhubaneshwar Area, India
Mobiona Software Solutions Pvt. Ltd.
App Developer Trainee
August 1, 2015 – January 1, 2016
Bhubaneshwar Area, India
Blockchain Programming in iOS Using Swift
Udemy
June 25, 2026 – Present
Mastering Core ML for iOS
Udemy
June 25, 2026 – Present
Arduino Discovery: programming the UNO board made simple.
Udemy
June 25, 2026 – Present
MongoDB Essentials - Understand the Basics of MongoDB
Udemy
June 25, 2026 – Present
Master CI/CD for iOS Developers
Udemy
June 25, 2026 – Present
Machine Learning iOS 11
Udemy
June 25, 2026 – Present
Understanding Blockchain Technology
Udemy
June 25, 2026 – Present
iOS 9 and Swift 2: From Beginner to Paid Professional
Udemy
June 25, 2026 – Present
Master CI/CD for Android Developers
Udemy
June 25, 2026 – Present
DevOps: CI/CD with Jenkins pipelines, Maven, Gradle
Udemy
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic background in AI/Data Science and a career path in software development. The certifications in ML and Blockchain align with a forward-thinking, technology-driven culture. However, the lack of detailed project descriptions makes it challenging to assess collaboration style, initiative, or alignment with specific company values. The transition from software engineering to a 'Team Lead - Mobility' role at a distribution company, followed by a Master's in AI, suggests a diverse career path, but the direct relevance of the 'Mobility' role to an ML Engineer position is unclear without further context.
Soft Skills & Operational Fit
The candidate's progression through various software engineering roles, including a Team Lead position, suggests leadership potential and experience in team environments. The R&D focus in previous roles indicates an inclination towards problem-solving and innovation. However, without specific project details or behavioral assessment data, it is difficult to fully assess operational fit and soft skills.