Headline

Python - AI/ML Engineer | DevOps Engineer | Aspiring Public Speaker | Driven by Leadership and Impact

About

Aspiring AI/ML Engineer | Python Developer | Cloud & DevOps Enthusiast Hello! I’m an AI/ML Engineer with a background in DevOps, having recently transitioned from DevOps engineering to the world of artificial intelligence and machine learning. Over the past few months, I’ve been sharpening my skills in Python programming, AI/ML frameworks, and cloud-based solutions to build intelligent, data-driven applications. 🧠 With a strong problem-solving mindset, I leverage my DevOps foundation to design efficient, scalable, and automated solutions while exploring innovative AI/ML techniques. 🌐 I hold industry-recognized certifications that reinforce my technical expertise: • ✅ AWS Certified Solutions Architect – Professional • ✅ Microsoft Certified: Azure Data Scientist Associate 💡 I am passionate about bridging the gap between cloud, DevOps, and AI/ML, and I’m actively documenting my journey through cartoon-style educational content. 🔍 I’m looking to connect, learn, and grow with like-minded professionals in AI, ML, Python, and cloud ecosystems. I aim to innovate and contribute to future-ready intelligent solutions.

Location

Bengaluru

AI stack

claude code

github copilot

langchain

langgraph

ollama

Langflow

Work experience

AI/ML Associate Engineer at Tata Consultancy Services, Apr 2025 - Present · 1 yr 7 mos, Bengaluru, Karnataka, India, Python AI/ML Engineer | Cloud & DevOps Background Transitioned from DevOps to AI/ML, building intelligent, data-driven solutions using Python and cloud technologies. Passionate about leveraging AI/ML to solve real-world problems and continuously learning cutting-edge techniques.

Machine Learning Engineer at Tata Consultancy Services, Jun 2024 - Present · 2 yrs 5 mos, Machine Learning, Agentic AI & GenAI Engineering ▸ Architected and delivered 4 production-grade AI/ML models (CNN, GNN, LLM-based), achieving up to 90% accuracy across pattern recognition, relational-data analysis, and text-processing tasks. ▸ Engineered end-to-end ML pipelines (ingestion, preprocessing of 10M+ records, training, deployment) on AWS SageMaker, cutting model release cycles by ~35%. ▸ Designed and deployed agentic, tool-using AI workflows using LangChain, LangGraph, and Google Agent Development Kit (ADK) for multi-agent orchestration, reasoning, and task automation. ▸ Built RAG pipelines integrating embedding models (text-embedding-3-large, bge-large-en-v1.5), vector databases (FAISS, Pinecone), and graph databases (Neo4j) for context-aware, knowledge-grounded LLM responses. ▸ Designed LLM-based prompt engineering frameworks for classification, summarization, and entity extraction, improving NLP accuracy by 28%. ▸ Built CNN-based computer vision models (90% precision, 60% less manual review) and GNN-based relational models, improving context-aware prediction accuracy by 40% over traditional ML baselines. ▸ Delivered full-stack AI applications, building Angular front-end components integrated with Python/FastAPI and PostgreSQL backends.

DevOps Engineer at Tata Consultancy Services, Jun 2024 - Jun 2025 · 1 yr 1 mo, Bengaluru, Karnataka, India, DevOps Engineer | Cloud & Automation Professional I am a DevOps Engineer with hands-on experience in automating, deploying, and managing scalable applications in cloud environments. Skilled in CI/CD pipelines, infrastructure as code, and system monitoring, I focus on improving system efficiency, reliability, and collaboration between development and operations teams. With a strong problem-solving mindset, I ensure that applications are robust, performant, and aligned with business objectives.

Python trainer and Teaching Assistant at Agni College Of Technology, Oct 2023 - May 2024 · 8 mos, Chennai, Tamil Nadu, India

Instructor at Agni College Of Technology, Oct 2023 - May 2024 · 8 mos, ▸ Trained 100+ students in Python programming and ML fundamentals; delivered automation workshops and job-readiness mentoring.

System Engineer at TechnoMates Solutions, Nov 2022 - Jan 2023 · 3 mos, On-site, Assisted in system configuration, troubleshooting, and support for hardware and software infrastructure in a collaborative IT environment.

Robotics (Research and Development) at Uniq Technologies, Jan 2022 - Apr 2022 · 4 mos, On-site, • Supported robotic system development using microcontrollers and sensors. • Contributed to prototype testing, hardware integration, and automation tasks.

Education

Bachelor of Engineering - BE, Ece, Anna University Chennai

Uniq technologies