Gunjan_

/ / about me

I build AI systems
that work in the real world

I’m Pawan Kumar Gunjan, an AI/ML Developer focused on Generative AI, Applied NLP, Computer Vision, and Agentic AI systems.

Pawan Kumar Gunjan profile photograph

01 / what I focus on

Generative AI.
NLP.
Applied machine learning.

I have 3+ years of experience building practical AI systems, from research-oriented experimentation to production deployment. My work spans Generative AI, multi-modal LLM workflows, vector databases, computer vision, and intelligent automation.

I especially enjoy building systems where AI can help with real tasks: question answering, translation, multilingual voice interaction, automated OCR, signal classification, and agent-driven workflows.

02 / experience

Experience

My recent experience includes working as an AI/ML Computational Science Sr. Analyst at Accenture and as a Software Developer - AI/ML at Metro Infrasys, where I developed and deployed ANPR and ATCC systems using FastAPI, Dockerized MLOps workflows, and scalable model-serving patterns.

Earlier, I worked at GeeksforGeeks on projects across Generative AI, NLP, Deep Learning, and Computer Vision, which helped me strengthen both the research and implementation sides of AI engineering.

For detailed information, please refer to the 2-page resume available in the downloads folder.

Experience

03/2026 – Present

Noida, India

AI/ML Computational Science Sr. Analyst, Accenture

  • Working on advanced AI and machine learning initiatives focused on practical deployment, scalability, and measurable business impact.
  • Contributing to solution design and implementation for modern AI systems, combining research thinking with engineering discipline.
  • Supporting teams in turning prototypes into robust, production-oriented workflows with a strong emphasis on reliability and maintainability.

08/2024 – 02/2026

Delhi, India

Software Developer - AI/ML, Metro Infrasys

  • Developed and deployed end-to-end ANPR systems covering data preparation, model training, inference pipelines, and production rollout.
  • Built scalable FastAPI services and Dockerized deployment workflows for model-serving and operational efficiency.
  • Worked across computer vision and AI-engineering workflows, improving system accuracy, performance, and delivery readiness.

12/2022 – 07/2024

Noida, India

TCE (AI & Machine Learning), GeeksforGeeks

  • Worked on projects spanning Generative AI, NLP, Deep Learning, and Computer Vision, strengthening both research understanding and implementation skills.
  • Built and evaluated multiple AI-driven solutions, learning how to translate ideas into practical applications with clear user impact.
  • Gained hands-on experience across experimentation, model development, and deployment-focused workflows in applied machine learning.