Headline

AI Engineer | Generative AI & Agentic AI | LLMs | RAG | Python | LLM & Vision AI | Infosys

About

I’m an AI Engineer at Infosys, working at the intersection of Generative AI, Agentic AI, LLMs, and enterprise AI. My work focuses on applying modern AI technologies to real-world business problems, with experience across Generative AI solutions, LLM/Vision-based applications, OCR and Intelligent Document Processing, and AI-powered workflows. I have worked with: • Generative AI & Large Language Models (LLMs) • Agentic AI and intelligent AI workflows • Retrieval-Augmented Generation (RAG) • Python-based AI application development • LLM & Vision AI • OCR and Intelligent Document Processing • Responsible AI (RAI) • AI Governance, risk assessment and controls • AI/ML model and use-case evaluation Alongside AI solution development, I have exposure to enterprise AI governance and Responsible AI practices, including evaluating AI use cases from governance, risk, control, and compliance perspectives. I have also worked with enterprise AI governance workflows involving IBM watsonx/AIMS. What interests me most about AI engineering is going beyond simply calling an LLM API. I enjoy understanding how to design the complete system around a model — including context, retrieval, tools, orchestration, evaluation, and responsible deployment. I’m currently deepening my expertise in Transformer architectures, LLM engineering, RAG, Agentic AI, multimodal AI, and production-oriented AI systems. My goal is to build reliable, scalable, and responsible AI solutions that move beyond experimentation and create measurable value in real-world enterprise environments.

Location

Gurugram

AI stack

claude

gemini

github copilot

hugging face

langchain

langgraph

Work experience

Process Specialist at Infosys BPM, Aug 2026 - Present · 2 mos, Hybrid, Working on enterprise AI initiatives with a focus on Generative AI, Agentic AI, LLM-based solutions, and responsible AI practices. • Contributing to the development and implementation of Generative AI and LLM-based solutions for enterprise use cases. • Working with AI-powered workflows involving LLMs, OCR, document intelligence, and vision-based AI capabilities. • Contributing to Agentic AI initiatives focused on building intelligent, tool-enabled workflows and automating enterprise processes. • Working across AI solution evaluation and Responsible AI practices, including governance, risk assessment, controls, and compliance considerations. • Contributing to enterprise AI governance workflows and AI use-case assessments using platforms and processes associated with IBM watsonx/AIMS. • Collaborating with development and business teams to evaluate requirements, address governance considerations, and support AI use cases through the approval lifecycle.

Senior Process Executive at Infosys BPM, Feb 2025 - Present · 1 yr 8 mos, Bengaluru, Gen AI | Infosys February 2025 – Present • Worked on enterprise AI and Generative AI initiatives involving LLMs, OCR, document intelligence, and AI/ML technologies. • Contributed to AI-powered solutions involving document processing and LLM/Vision capabilities. • Developed and supported Python-based components for AI applications and workflows. • Gained hands-on exposure to Responsible AI, AI governance, model/use-case evaluation, and enterprise AI risk and control processes. • Collaborated with cross-functional teams to support AI solution development, evaluation, and approval processes.

AI/ML Engineer at engineersmind, Dec 2024 - Jan 2025 · 2 mos, Noida · Hybrid, – Developed and evaluated AI/ML Proof-of-Concepts (POCs) based on business requirements and technical objectives. – Used Python and SQL for data preprocessing, validation, transformation, analysis, and AI/ML experimentation. – Performed data cleaning, preprocessing, exploratory analysis, and validation to prepare datasets for machine learning workflows. – Supported development and evaluation of machine learning and NLP-based approaches for experimental AI solutions. – Experimented with different technical approaches and evaluated model outputs against defined requirements and expected behaviour. – Supported debugging, testing, documentation, and iterative improvement of AI/ML POC components. – Collaborated with team members to understand requirements and translate business problems into workable technical solutions. Technology: Python, SQL, Machine Learning, NLP, Data Processing, Data Validation, Data Analysis, AI/ML POCs

AI/ML Engineer Intern at engineersmind, Jun 2024 - Dec 2024 · 7 mos, Noida · Hybrid, – Completed a 6-month AI/ML engineering internship focused on developing and evaluating Proof-of-Concept solutions. – Worked with Python for data processing, automation, experimentation, and AI/ML development tasks. – Performed data cleaning, preprocessing, validation, and exploratory data analysis for AI/ML experiments. – Assisted in developing and testing machine learning and NLP-based approaches for experimental solutions. – Supported model experimentation, output validation, testing, and documentation of POC results. – Worked with senior engineers to understand requirements, identify technical approaches, and implement experimental solutions. – Participated in debugging and iterative improvement of AI/ML components based on test results and feedback. Technology: Python, SQL, Machine Learning, NLP, Data Processing, Data Analysis, AI/ML POCs

Education

Bachelor of Technology, Computer Science, Galgotias university