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Experienced Web Developer specializing in Back End development. Proficient in all stages of the development cycle for dynamic web projects.

🔧 Over 9 years of experience in Data Science & Machine Learning, delivering innovative, production-ready AI/ML solutions across diverse sectors (Publishing, E-commerce, BFSI, Manufacturing, Marketing).🧠 Expertise in Generative AI, NLP, Metadata Extraction, and fine-tuning LLMs (LLaMA, Mistral, Falcon) for domain-specific use cases.🤖 Built a Generative AI Interview Bot that generates contextual questions, evaluates candidate profiles, and integrates with Azure CI/CD pipelines for fully automated hiring workflows.⚙️ Skilled in developing scalable APIs using FastAPI & Flask, and optimizing real-time and batch data pipelines.🗂️ Strong hands-on experience with relational (PostgreSQL) and NoSQL (MongoDB, Elasticsearch) databases, focusing on performance tuning & large-scale querying.☁️ Cloud-native deployment expert, proficient with Azure, AWS, GCP, Docker, Kubernetes, and CI/CD automation.📈 Successfully delivered AI solutions for: 📦 Invoice metadata extraction 📊 CLTV & churn prediction 🧾 Citation metadata extraction (NER) 🔍 Semantic search engines (57M+ records) 🧬 3D model duplication detection (Stable Diffusion)🚀 Performance benchmarking specialist, experienced in stress testing APIs, optimizing models, and system tuning under high-load environments.💬 Excellent communicator, able to translate complex AI/ML concepts for non-technical stakeholders and align solutions with business goals.📚 Lifelong learner, actively staying current with cutting-edge research (IEEE, MDPI, Scopus) and evolving AI/ML trends through platforms like Coursera and Linux Academy.

I am a Data Scientist and Agentic AI Engineer with experience delivering enterprise-grade AI and Generative AI solutions in regulated and client-driven environments. My background spans advanced analytics, machine learning, NLP, and LLM-based architectures, with a strong focus on building scalable, secure, and explainable AI systems aligned with business and compliance requirements.In my current role, I work on Agentic AI and Generative AI initiatives, designing end-to-end LLM pipelines using Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and tool-based orchestration. I have developed Reason-Action agent frameworks that enable natural language interaction with complex enterprise APIs, implemented centralized LLM Gateways, and integrated guardrails, authentication, and monitoring to ensure responsible AI usage. My work includes deploying production systems on AWS using Docker, ECS, ECR, Cognito, DynamoDB, PostgreSQL (PGVector), and FastAPI.Previously, as a Data Scientist in the banking domain, I led large-scale NLP and analytics projects focused on customer experience, risk reduction, and operational efficiency. I analyzed over 200,000 customer complaints using supervised and transformer-based models (SVM, XGBoost, BERT), applied topic modeling techniques (LDA, BERTopic), and built RAG-based GPT solutions using open-source LLMs for domain-specific financial insights. These initiatives reduced turnaround time, improved classification accuracy, and supported data-driven decision-making at scale.I bring strong expertise in Python, SQL, Machine Learning, Deep Learning, NLP, Transformers, Generative AI, Agentic AI, Prompt Engineering, and cloud-native AI deployments. I am particularly interested in consulting-driven problem solving—working with stakeholders, translating business requirements into technical solutions, and delivering AI systems that are robust, auditable, and aligned with enterprise standards.I am keen to contribute to consulting engagements involving Generative AI, Advanced Analytics, Intelligent Automation, and Responsible AI

I'm an AI Solopreneur with a deep passion for Web3. Currently diving deep into Agentic AI systems, with hands-on experience in multi-agent orchestration using Azure AI Studio and Foundry Definition Language (FDL). Actively contributing to the evolution of intelligent, autonomous agent platforms that solve real-world enterprise problems.Previously, I led the end-to-end development of blockchain solutions, including NFT marketplaces and DeFi platforms, across Ethereum, Polygon, and Hedera Hashgraph ecosystems. My core strengths lie in designing, writing, auditing, and deploying Solidity smart contracts in EVM-compatible environments.Beyond coding, I contribute across the stack—from technical writing and content creation to recruiting Web3 talent, community building, and strategic system design. Outside of tech, I’m equally curious about spirituality, book discussions, and growing high-performing teams with a strong culture of learning and innovation

I am a motivated final-year Bachelor of Technology student at the Indian Institute of Information Technology, Una, Himachal Pradesh, India, specializing in Electronics and Communication Engineering. With a cumulative grade point average of 8.79, I have demonstrated academic excellence and a steadfast commitment to learning, particularly in the areas of machine learning and deep learning.My enthusiasm for artificial intelligence and deep learning has propelled me to acquire practical experience through internships and projects. At Panora in Singapore, I played a pivotal role in the development of an AI-powered decentralized finance aggregator and in optimizing large language models. During my internship at Sphinx Worldbiz Ltd., I contributed to innovative projects, including chatbot development utilizing large language models and computer vision-based document verification.In addition to my internships, I have actively participated in research, presenting papers in esteemed journals as a research intern at the Indian Institute of Technology Mandi. My technical expertise encompasses Python, TensorFlow, PyTorch, and various deep-learning libraries. I have also implemented practical projects, such as a conversational AI chatbot and a driver drowsiness detection system employing computer vision.

Objective Highly motivated and tech-savvy IT professional seeking to leverage strong analytical and problem-solving skills to make positive impact in dynamic and fast-paced work environment.