Headline

Ai ops, GenAi, Machine learning, MLOps, distributed training and deployment at scale

About

build various AI, Robotics Projects and worked on Self Driving car, One of the projects I am proud of is traffic signal classification in which dataset of 1000 traffic signs images was trained and could make the prediction with 98% of success ratio. I have experience with many of the major javascript frameworks with a solid base of object-oriented javascript and the DOM. I like to approach UI problems with an engineering mindset. Specialities: Artificial Intelligence, Machine Learning, Deep learning/AI/ML/Javascript/Python/Cpp/C(TensorFlow, Nodejs, React Js, angular2, Vue Js, Keras, koa2, SQL, ROS, Sensor Fusion, Localization, Motion Planning, Regression,Computer Vision)

Location

Bangalore Urban

AI stack

hugging face

langgraph

langsmith

claudecode

Guardrails AI

vLLM

Work experience

Technical manager (Principal Architect)– AI & Cloud at EY, Jul 2025 - Present · 1 yr 2 mos, Gurugram, Leading enterprise Generative AI transformation initiatives, architecting production-grade LLM and SLM solutions across regulated industries. • Designed and deployed end-to-end GenAI architectures leveraging Large Language Models (LLMs) and Small Language Models (SLMs) for enterprise use cases including document intelligence, knowledge automation, and conversational AI • Architected secure RAG (Retrieval-Augmented Generation) pipelines integrating vector databases, embeddings, and domain-specific knowledge graphs • Built scalable LLMOps frameworks covering model serving, fine-tuning, evaluation, guardrails, observability, and cost optimization • Led implementation of private LLM deployments, API-based foundation models, and hybrid AI architectures on cloud-native infrastructure • Designed model governance frameworks addressing hallucination control, explainability, drift monitoring, and responsible AI compliance • Optimized inference performance through model compression, distillation, quantization, and SLM-based edge deployment strategies • Directed cross-functional AI, data engineering, and platform teams to deliver enterprise-grade GenAI platforms

Senior Engineer Consultant-AI-ML at Verizon, Jun 2023 - Jul 2025 · 2 yrs 2 mos, Bengaluru, Led large-scale ML platform modernization and production deployment initiatives supporting enterprise-grade AI systems. • Spearheaded migration to Seldon V2 for scalable model serving across distributed Kubernetes environments • Designed batch and real-time model deployment pipelines ensuring reliability, scalability, and CI/CD automation • Built model monitoring and observability frameworks covering performance tracking, drift detection, and explainability • Optimized inference performance and infrastructure utilization across high-volume production workloads • Led multiple engineering teams responsible for model lifecycle management and platform reliability • Standardized ML governance practices across deployment, retraining workflows, and monitoring

Senior Machine learning Engineer at Quantiphi, May 2021 - May 2023 · 2 yrs 1 mo, Bengaluru, Delivered cloud-native AI and advanced analytics solutions for enterprise clients across retail, healthcare, and financial services. • Built and deployed ML models for forecasting, recommendation systems, and NLP-driven automation • Designed scalable data pipelines using Spark and cloud-based architectures (GCP/AWS) • Implemented end-to-end ML workflows from feature engineering to production deployment • Collaborated with client stakeholders to translate business problems into AI-driven solutions • Contributed to solution design, technical documentation, and client presentations

Machine Learning Engineer at 1Touch Development, Jan 2020 - Apr 2021 · 1 yr 4 mos, Chandigarh, India, Contributed to the design and development of scalable backend systems and data-driven applications, building strong foundations in production engineering and applied machine learning. • Developed and maintained backend services and REST APIs supporting high-availability applications • Designed data processing workflows for analytics and automation use cases • Built and optimized machine learning models for structured and unstructured datasets • Implemented feature engineering pipelines and model validation frameworks • Collaborated with cross-functional teams to deliver end-to-end technical solutions • Focused on performance optimization, reliability, and clean architecture practices

Machine Learning Engineer at Freelnace, Jan 2020 - Mar 2021 · 1 y 2 mo, Chandigarh, Led a 20+ member team across ML and web-engineering, delivering multiple e-commerce platforms and ML pipelines with Angular / React front-ends and REST/GraphQL back-ends. Built cloth detection and masking by category and attributes; implemented DCGAN for Deepfake generation. Designed and deployed CI/CD pipelines using Jenkins, Docker and GitHub aligned to client-specific coding standards.

Software Developer at SourceFuse Technologies, Apr 2017 - Apr 2019 · 2 y, Mohali’s

Software Engineer at Click Labs, Aug 2016 - Apr 2017 · 8 mo, Chandigarh

Education

Nanodegee: Self Driving Car, Computer Vision, and Deep Learning, Sensor Fusion, Localization, Motion Planning, Udacity

Bachelor of Technology, Computer Engineering, Punjab technical university