Ankit Kumar
AI Architect Tech Lead | GenAI | Python | LLMs | MLOps | Agentic AI | MCP | NLP | ETL/ELT| MongoDB | Docker | Fast API | RAG | VectorDB | Azure AI
- Role
- Ai Tech Lead at Infosys
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Ankit Kumar
About MeI\'m a seasoned Python GenAi Developer with a strong foundation in scalable data systems, end-to-end ML pipelines, and cutting-edge AI/LLM technologies. With nearly three years of experience at CGI as a Python Developer, I laid the groundwork for my transition into advanced data science and AI roles by building efficient, reusable, and production-ready Python applications.At CGI, I worked on automating backend systems, optimizing data processing workflows, and collaborating with cross-functional teams on large-scale enterprise solutions. This role sharpened my software engineering skills and introduced me to real-world system design, CI/CD practices, and clean coding standards—all of which now support my current work in MLOps and AI productization. What I Excel At- Python Development: Writing clean, modular code for data processing, automation, and backend services. My CGI experience helped me build strong foundations in REST API development, scripting, and automation pipelines- Data Engineering: Designing scalable ETL pipelines with PySpark, Python, and Alteryx to ensure reliable and performant data for ML models- End-to-End ML Lifecycle: From data prep and feature engineering to model deployment and monitoring, I specialize in bringing ML models to production reliably- MLOps Mastery: CI/CD/CT using GitHub Actions, MLflow, Docker, Cloud Composer, and Kubeflow for robust model lifecycle management- Model Optimization & Monitoring: Skilled in drift detection, performance tracking (ClearML, LangSmith), and hyperparameter tuning with tools like Hyperopt.🧠 GenAI & AI Agent Innovation- Currently diving deep into LLMs, GenAI, and multi-agent systems, including- LangChain, CrewAI, AutoGen, LangGraph, and LangFlow- Retrieval-Augmented Generation (RAG) systems using FAISS and Chroma- Deployment of AI agents at scale using BentoML, Docker, and GitHub Actions- Workflow automation using n8n, and performance tracking with ClearML & OpikI’ve implemented real-world use cases such as intelligent chatbots, content automation, and financial analysis agents—bridging the gap between innovation and application. Current FocusI’m currently focused on: Multi-agent AI system design RAG/Adaptive RAG integration AI workflow automation LLM-powered app development
Experience
Ai Tech Lead
Dec 2025 — Present · Bengaluru, IN
Education
DAV public school pokhariput
Senior secondary education , Physics chemistry biology math
Ghanashyam hemalata Vidyamandir
10th, Physics chemistry biology maths (CBSE)
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