Headline

Senior Software Engineer @ Capgemini | AI Engineer | CYTHON FINALIST 2024

About

I'm an AI Engineer with 1 year of hands-on experience building Python-based backend systems, agentic AI platforms, and end-to-end MLOps pipelines — currently working at Capgemini in Bengaluru. My core strength is combining solid software engineering fundamentals with applied AI. I design and deploy conversational AI systems using LLMs (GPT-4), LangGraph orchestration, and RAG pipelines, and I build the backend infrastructure — Python, FastAPI, Flask API — that supports real-time data pipelines and NLU-driven features for enterprise users. On the MLOps side, I've delivered pipelines spanning model benchmarking, MLflow tracking, Docker containerization, and Azure ML deployment, and I use Azure Databricks for large-scale data preprocessing. I also work within agile teams, tracking sprints and releases through Azure DevOps. One project I'm particularly proud of: a proof-of-concept that automates business reporting by consolidating data from multi-sheet Excel workbooks through a fully dynamic Python pipeline, with Azure OpenAI LLMs generating the final analysis and insights — cutting manual report-prep time significantly. Before this, I interned as a Web Developer at Tecvololabs, building a responsive corporate platform with React and TypeScript, and worked as a Project Intern at Thapar University on computer vision models for plant disease detection, as part of a patented IoT monitoring system. I hold a B.E. in Computer Science from Thapar Institute of Engineering and Technology, and was First Runner-Up in the Android Security track at Cython 2024 (IIT Delhi), competing against 200+ teams. I'm actively exploring Generative AI and Agentic AI system design — prompt engineering, multi-hop reasoning, and workflow orchestration — and looking to grow further into roles that blend strong software engineering with applied AI/ML. Always happy to connect and talk shop — conversational AI, agentic systems, or backend engineering.

Location

Amritsar

AI stack

codex

cursor

claudecode

Work experience

Artificial Intelligence Engineer at Capgemini, Sep 2025 - Present · 1 yr, - Working at the intersection of software engineering and applied AI — building agentic AI systems that power real enterprise decision-making. - Designing and deploying a conversational AI platform using LLMs (GPT-4), LangGraph orchestration, and RAG pipelines for 100+ enterprise users, with multi-hop reasoning and NLU-driven intent classification. - Applying strong backend engineering fundamentals — Python, FastAPI, Flask API — to build scalable systems that support real-time data pipelines and intelligent, NLU-driven features. - Delivering end-to-end MLOps pipelines — model benchmarking, MLflow, Docker, and Azure ML — alongside hands-on production engineering work. - Automating business reporting by building dynamic Python pipelines paired with Azure OpenAI LLMs for auto-generated insights, cutting manual effort by nearly 80%. - Working across Azure Databricks and Azure DevOps, managing agile sprints while building cloud-native, hybrid infrastructure solutions. - Continuously exploring Generative AI and Agentic AI system design — prompt engineering, multi-hop reasoning, and workflow orchestration patterns.

Web Development Intern at Tecvolo Labs, Feb 2025 - Aug 2025 · 7 mos, Noida, Uttar Pradesh, India, -Developed responsive and engaging web interfaces for client projects like SyonGo using React.js, HTML, CSS, and JavaScript. -Worked on WordPress and Shopify platforms to customize themes, enhance UI consistency, and improve site performance. -Collaborated with cross-functional teams to optimize UX, accessibility, and cross-device compatibility, delivering clean, scalable code and impactful design improvements.

Research Intern at Thapar Institute of Engineering & Technology, Jun 2024 - Jul 2024 · 2 mos, India, As a collaborative team, we developed an automated aquaponics system with a dynamic web interface using HTML, CSS, JavaScript, and React.js. The platform allows for real-time monitoring of key environmental parameters. Our efforts focused on providing users with enhanced remote access and decision-making capabilities, utilizing intuitive data visualization and an efficient interface for managing the system remotely.

Publicity head at MUDRA Society, Thapar University, Patiala, Aug 2022 - Aug 2023 · 1 yr 1 mo, Patiala, Punjab, India

Member at MUDRA Society, Thapar University, Patiala, Jan 2022 - Aug 2022 · 8 mos, Patiala, Punjab, India

Executive member at Microsoft Learn Student Chapter, TIET, Dec 2021 - Jun 2022 · 7 mos, India

Education

Bachelor's degree, Computer Engineering, Thapar Institute of Engineering & Technology