Amit Sharma

AI / ML ENGINEER

Talent

MohaliMember since August 13, 2026

LangChainLangGraphRAG PipelinesPrompt EngineeringAgentic AITool callingFunction callingMulti-step planningDynamic tool selectionGroq APIGoogle GeminiOpenAI APIHugging FaceLLaMA 3.xCohereSentence-TransformersScikit-learnLinear RegressionLogistic RegressionRandom ForestDecision TreesXGBoostKNNK-MeansAgglomerative ClusteringPCATF-IDFGridSearchCVFine-TuningHyperparameter Tuning

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LangChainLangGraphRAG PipelinesPrompt EngineeringAgentic AI

About

AI/ML Engineer with 6 months of industry experience building LLM-powered and agentic AI applications, including a production RAG chatbot deployed live for a client and a tool-using automation agent built on OpenAI function calling. Experienced with LangChain, LangGraph, and vector databases; classical ML pipelines (scikit-learn, TF-IDF, clustering) served through FastAPI/Flask REST APIs; workflow automation with n8n and Docker; and deep learning architectures implemented from scratch in PyTorch and TensorFlow. End-to-end approach — from data preprocessing and model training through to deployment and monitoring.

Experience

AI Automation Intern at BoostXAI (2026-07 – Present)

Building a WhatsApp chatbot and CRM system on n8n, integrating the Meta WhatsApp Business Cloud API with Firebase/Firestore, and self-hosting the stack with Docker Compose on an Oracle Cloud Linux VPS.

AI/ML Engineer Intern at Techlive Solutions (2026-01 – 2026-07)

Built a Daily Planner AI Agent using LangGraph, LangChain and Groq (LLaMA 3.3) with 7+ custom agent tools for task generation, scheduling and PDF/CSV export, deployed via Streamlit.
Developed an end-to-end NLP chatbot for a client using spaCy, NLTK and scikit-learn — 95% intent accuracy with no LLM API cost, served through a Flask REST API.
Designed and deployed supervised ML models (Linear Regression, Random Forest, Decision Tree) for house price, weather and customer segmentation use cases, owning preprocessing through evaluation.

AI/ML Intern at Innovexis (2026-08 – 2026-08)

Selected for an AI/ML internship focused on applied machine learning and AI engineering tasks, contributing to production-oriented deliverables under the company's technical team.