Professional Overview
Proactive B.Sc. Computer Science graduate (8.18 CGPA) with hands-on experience in building and deploying 5+ production-ready GenAI applications. Specialized in LangChain, Groq, CrewAI / LangGraph, RAG systems, and agentic workflows — including a Multi-Agent Research & Content Generator (with Researcher, Writer, Editor, Fact-Checker agents) and a RAG-powered Enterprise Document Q&A Assistant that achieved 95%+ factual accuracy.Also developed an AI Resume Matcher (Next.js + Groq), GenAI Multi-Language Translator, and Full-Stack Data Dashboard (Flask + PostgreSQL).Backed by two internships (Business Analyst at Human Initials and Machine Learning at Internship Studio) and 12+ certifications from Microsoft, AWS, IBM, DeepLearning.AI, and Codecademy (Docker + Kubernetes).Seeking remote entry-level GenAI/ML Engineer, AI Developer, or RAG/Agentic AI roles where I can deliver end-to-end AI solutions quickly and reliably. Passionate about building practical, production-grade AI tools that solve real business problems.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
