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Hi, I’m Uttam Kumar. I’m an AI Engineer with 5+ years of experience designing, developing, and deploying ML and deep learning solutions across NLP, computer vision, and predictive analytics. I enjoy turning complex data into practical, scalable applications and building production-grade models and data pipelines that are reliable, observable, and easy to maintain. I thrive in Agile environments, deploying end-to-end MLOps with MLflow, DVC, Docker, and Kubernetes, and leveraging cloud platforms like AWS SageMaker and Vertex AI to scale experimentation and deployment. My work emphasizes measurable impact, clear documentation, and robust monitoring to ensure model health and business value.…Hi, I’m Uttam Kumar. I’m an AI Engineer with 5+ years of experience designing, developing, and deploying ML and deep learning solutions across NLP, computer vision, and predictive analytics. I enjoy turning complex data into practical, scalable applications and building production-grade models and data pipelines that are reliable, observable, and easy to maintain. I thrive in Agile environments, deploying end-to-end MLOps with MLflow, DVC, Docker, and Kubernetes, and leveraging cloud platforms like AWS SageMaker and Vertex AI to scale experimentation and deployment. My work emphasizes measurable impact, clear documentation, and robust monitoring to ensure model health and business value.

Uttam Kumar Chandler

AI Engineer, Data Scientist, AI Developer, +4

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Hi, I’m Uttam Kumar. I’m an AI Engineer with 5+ years of experience designing, developing, and deploying ML and deep learning solutions across NLP, computer vision, and predictive analytics. I enjoy turning complex data into practical, scalable applications and building production-grade models and data pipelines that are reliable, observable, and easy to maintain. I thrive in Agile environments, deploying end-to-end MLOps with MLflow, DVC, Docker, and Kubernetes, and leveraging cloud platforms like AWS SageMaker and Vertex AI to scale experimentation and deployment. My work emphasizes measurable impact, clear documentation, and robust monitoring to ensure model health and business value.…Hi, I’m Uttam Kumar. I’m an AI Engineer with 5+ years of experience designing, developing, and deploying ML and deep learning solutions across NLP, computer vision, and predictive analytics. I enjoy turning complex data into practical, scalable applications and building production-grade models and data pipelines that are reliable, observable, and easy to maintain. I thrive in Agile environments, deploying end-to-end MLOps with MLflow, DVC, Docker, and Kubernetes, and leveraging cloud platforms like AWS SageMaker and Vertex AI to scale experimentation and deployment. My work emphasizes measurable impact, clear documentation, and robust monitoring to ensure model health and business value.

Available to hire

Hi, I’m Uttam Kumar. I’m an AI Engineer with 5+ years of experience designing, developing, and deploying ML and deep learning solutions across NLP, computer vision, and predictive analytics. I enjoy turning complex data into practical, scalable applications and building production-grade models and data pipelines that are reliable, observable, and easy to maintain.

I thrive in Agile environments, deploying end-to-end MLOps with MLflow, DVC, Docker, and Kubernetes, and leveraging cloud platforms like AWS SageMaker and Vertex AI to scale experimentation and deployment. My work emphasizes measurable impact, clear documentation, and robust monitoring to ensure model health and business value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

AI Engineer at GPT Integrators (Early-Stage Startup)

June 1, 2025 - Present

Architected LangGraph-based agentic system with orchestrator and reasoning engine, improving response times by 40% through optimized inference pipeline design and memory management with GPT-4.1 and GPT-4.1 mini. Integrated MCP tools and RAG pipelines for LLM grounding with advanced vector optimization algorithms, achieving 35% faster task completion across distributed AI components. Deployed production Azure Data Factory pipelines with Medallion Architecture handling 500K+ automotive records daily, achieving 99.9% data accuracy through SCD Type 2 and Data Vault 2.0. Engineered Core Processing Engine for AI document extraction platform processing 5,000+ documents monthly with 96% accuracy, reducing manual processing time by 85% through LLM-powered intelligent extraction. Built enterprise-grade error handling with automatic categorization, exponential backoff, and dead-letter queues, reducing failed document extractions by 85% through automated recovery.

Lead AI Engineer at HCL Tech

August 1, 2024 - May 1, 2025

Led cross-functional delivery of large-scale AI platforms spanning NLP, computer vision, and recommendation engines, driving measurable gains in user engagement and product adoption. Designed and operationalized end-to-end MLOps frameworks using MLflow, DVC, and automated CI/CD pipelines, significantly accelerating model releases and improving experiment traceability. Engineered high-volume data processing pipelines using Pandas, Dask, and PySpark to support model training and inference on large datasets with improved runtime efficiency. Developed and productionized advanced deep learning models, including Transformer-based architectures and generative models, for use cases such as fraud detection and intelligent content generation. Oversaw cloud-based model training and deployment on AWS SageMaker and GCP Vertex AI, optimizing infrastructure utilization while maintaining scalable and reliable inference workflows. Established model performance monitoring and business reporting dashboar

Software Engineer at Infineon Technologies India Pvt. Ltd.

January 1, 2022 - July 1, 2023

Developed and validated LIN, CAN, SPI, and Ethernet communication modules on Aurix TC4x microcontroller (ARM) HAL, ensuring ISO 26262 ASIL-D functional safety compliance for tier-1 automotive OEMs. Built 3 Python automation tools reducing testing time by 40% per release cycle (5 days to 3 days), including boundary value generator from architecture files and automated test verification. Led compliance validation for ISO 26262 functional safety and ISO 21434 cybersecurity standards, creating traceability matrices linking requirements to tests to results.

Software Engineer at Hexaware Technologies

January 1, 2020 - December 1, 2021

Designed, developed, and maintained scalable Python-based backend services and automation components, improving overall system stability and reducing production issues by 25%. Built and enhanced RESTful APIs using Flask and FastAPI to support secure, high-volume data exchange, cutting system integration turnaround time by 30%. Implemented efficient data processing and transformation pipelines using Pandas, NumPy, and SQL, reducing data latency by 20% while improving data accuracy. Wrote clean, modular, and reusable Python code following industry best practices, improving code maintainability and simplifying future feature enhancements. Automated recurring operational and reporting tasks through Python scripting, significantly reducing manual effort and improving day-to-day development efficiency. Integrated external APIs and third-party services with robust error handling and logging, ensuring reliable application performance across environments. Collaborated in Agile delivery cycles w

AI Engineer at GPT Integrators

June 1, 2025 - Present

Architected LangGraph-based agentic system with orchestrator and reasoning engine, improving response times 40% through optimized inference pipeline design and memory management with GPT-4.1 and GPT-4.1 mini. Integrated MCP tools and RAG pipelines for LLM grounding with advanced vector optimization algorithms, achieving 35% faster task completion across distributed AI components. Deployed production Azure Data Factory pipelines with Medallion Architecture handling 500K+ automotive records daily, achieving 99.9% data accuracy through SCD Type 2 and Data Vault 2.0 methodologies. Engineered Core Processing Engine for AI document extraction platform processing 5,000+ documents monthly with 96% accuracy, reducing manual processing time by 85% through LLM-powered intelligent extraction. Built enterprise-grade error handling with automatic categorization, exponential backoff, and dead letter queues, reducing failed document extractions by 85% through automated recovery.