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Sakthi P · @sakthi

Linkedin Profile

From linkedin.com/in/sakthi-p-3a46472b5

My headline is Senior Artificial Intelligence and Machine Learning Engineer. I also describe my focus as AI/ML engineering, Generative AI, LLMs, RAG, AI agents and workflows, Python, FastAPI, LangChain, LangGraph, NLP, and data and AI integration. I am based in Chennai, Tamil Nadu, India.

I work as an Artificial Intelligence Engineer at setNext: Artificial Intelligence Engineer at setNext (Jan 2024 to Jul 2026), Erode, Tamil Nadu, India.

I also work as a Machine Learning Engineer at SetNextGen Technologies Pvt. Ltd.: Machine Learning Engineer at SetNextGen Technologies Pvt. Ltd. (Jan 2024 to Jul 2026).

In my Machine Learning Engineer role, I built production-level GenAI web applications and intelligent chatbots using LangChain, RAG, Chain-of-Thought prompting, and context engineering, improving response accuracy and reducing manual intervention. I deployed AI workloads across AWS Bedrock, Azure OpenAI Service, and Google Vertex AI; developed full-stack applications with Python, FastAPI, Node.js, Angular, and React Native; and built real-time ML-input data pipelines with Apache Kafka, Airflow, and Apache Spark. I used Docker and Kubernetes for containerized deployments.

I earned a Bachelor of Engineering in Electrical and Electronics Engineering: VV College of Engineering: Bachelor of Engineering - BE, Electrical and Electronics Engineering (Jun 2020 to Dec 2023).

My high-school credential and result are recorded as: St. Antony's High School: High School Diploma — 87.2%.

My other listed high-school credential and result are recorded as: St. Antony's High School: High School Diploma — 63.3%.

My listed skills include AI and machine learning, deep learning, neural networks, CNNs, RNNs, reinforcement learning, computer vision, NLP, Generative AI, LLMs, RAG, context engineering, LangChain, FAISS, vector databases, Kafka, Spark, GCP, AWS, Azure services, Python, FastAPI, Node.js, Angular, Next.js, React Native, Docker, and Kubernetes.

I built a GenAI and RAG chatbot with document ingestion, FAISS vector search, retrieval, and LLM-based contextual response generation; the profile dates this project to September 2026. I also trained an AI/ML model to recognize exercises, including push-ups, from a camera feed for real-time identification based on user movements; that project is dated April 2025.