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AI /ML Engineer | Data Scientist | Agentic AI | AI Agents | Gen AI | LLM | RAG | MCP | NLP
I am an AI/ML Engineer | Data Scientist (6+years experience in AI field ) and Digital Transformation Professional. Overall total 10+ years of experience in digital marketing and delivering data-driven solutions across diverse industries, including global e-commerce environments such as Amazon. My passion is building intelligent AI systems that solve real-world business challenges using Agentic AI, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, and Deep Learning. What I Do ✅ Design and develop Agentic AI solutions ✅ Build AI Agents and Multi-Agent Systems ✅ Develop RAG-based applications using vector databases ✅ Create LLM-powered chatbots and business assistants ✅ Deploy AI solutions on cloud platforms and containerized environments TECHNICAL EXPERTISE 🔹Generative AI & LLM Engineering ➤ Large Language Models (LLMs) ➤ Prompt Engineering ➤ RAG ➤ AI Agents & Agentic Workflows ➤ Multi-Agent Systems ➤ LangChain & LangGraph ➤ Llama Ecosystem ➤ OpenAI & Gemini Integrations ➤ Conversational AI & Chatbots ➤ AI Automation Solutions 🔹 Machine Learning & Data Science ➤ Predictive Analytics ➤ Classification & Regression Models ➤ Clustering & Segmentation ➤ Time Series Forecasting ➤ Statistical Modeling ➤ Feature Engineering ➤ Model Optimization ➤ Explainable AI 🔹 Deep Learning ➤ CNN, LSTM, GRU ➤ Transformers ➤ BERT & GPT Architectures ➤ Computer Vision ➤ NLP ➤ Sequence Modeling ➤ Neural Machine Translation ➤ Image Segmentation & Object Detection 🔹 Agentic AI & Intelligent Systems ➤ Autonomous AI Agents ➤ Multi-Agent Collaboration Frameworks ➤ Tool Calling & Function Execution ➤ AI Orchestration ➤ Knowledge Retrieval Systems ➤ AI Copilots ➤ Work
Birla Institute of Technology and Science, Pilani
Master of Technology - MTech, Data Science and Engineering
April 1, 2021 – April 1, 2023
Bharathiar University
Master of Business Administration (M.B.A.), International Business
January 1, 2011 – January 1, 2013
Government Engineering College Idukki - India
Bachelor of Technology (B.Tech.), Computer Science & Engineering
January 1, 2005 – January 1, 2009
IBM
AI/ML Engineer | Team Lead | Data Scientist
October 1, 2025 – Present
Apziva
Data Scientist | ML | Gen AI LLM Engineer
July 1, 2023 – October 1, 2025
Turkey · Remote
KBA - Accounting | Advisory | Consulting
Digital Business & IT Lead
December 1, 2019 – October 1, 2025
Dubai, Dubai, United Arab Emirates
Green Field Trading
Digital Marketing & SEO Strategist , Web Development/Design Engineer
July 1, 2018 – December 1, 2019
Sharjah, United Arab Emirates · On-site
Brandster LLC
Sr. Digital Marketing Consultant, SEO Specialist
December 1, 2017 – July 1, 2018
Dubai, Dubai, United Arab Emirates · On-site
Micromind Solutions
Software Support Engineer, Digital Marketing & SEO Management, Web Developer/Designer
March 1, 2015 – November 1, 2017
Dubai · On-site
Adbiz Tech Marketing Management
Digital Marketing Manager
February 1, 2014 – February 1, 2015
Dubai, Dubai, United Arab Emirates · On-site
Dontworry (The First Global E-Society )
Web Developer/Digital Marketing/SEO @ Dontworry Group
January 1, 2014 – August 1, 2014
Dubai, Dubai, United Arab Emirates
STC
Web Developer,SEO/Digital Marketing
September 1, 2012 – January 1, 2014
Dubai
Prime College Of Engineering, Palakkad
Lecturer
November 1, 2010 – January 1, 2012
Palakkad, Kerala, India
AGILE PROGRAMMERS PRIVATE LIMITED
Software Engineer
June 1, 2009 – December 1, 2009
Greater Chennai Area · On-site
NSS College of Engineering, Palakkad
Guest Lecturer
February 1, 2009 – November 1, 2010
Palakkad, Kerala, India
AIAgent-CustomerChurn-Assistant
May 1, 2026 – June 1, 2026
End-to-end ML pipeline for customer churn prediction paired with an AI-powered retention agent that helps representatives handle at-risk customers in real time.
Social Media Agentic AI
March 1, 2026 – April 1, 2026
Your Intelligent Assistant for Social Media Management & Analytics Python Streamlit AI Powered License Social Media Agentic AI is an intelligent, AI-powered social media management system that helps users generate content, analyze sentiment, monitor engagement, and optimize posting strategies — all through a clean, interactive Streamlit dashboard.
AI Property Chatbot
February 1, 2026 – April 1, 2026
Streamlit + Google Gemini Powered Real Estate Assistant An AI-powered real estate chatbot built using Python, Streamlit, and Google Gemini, designed to automate property inquiries, understand customer preferences, and provide intelligent property recommendations in real time. This project demonstrates how Generative AI and conversational intelligence can streamline real-estate interactions, reduce manual workload, and improve customer engagement through structured data extraction and personalized recommendations.
Fashion Genome AI
February 1, 2026 – May 1, 2026
Intelligent Outfit DNA Analysis System Python TensorFlow Streamlit License Fashion Genome AI decodes the DNA of fashion — extracting style attributes, color combinations, fabric textures, and trend patterns from clothing images to power next-generation fashion intelligence. Layer Technology Language Python 3.8+ Deep Learning TensorFlow, PyTorch Computer Vision OpenCV, Vision Transformer (ViT) NLP & Metadata LangChain, Hugging Face Visualization Streamlit, Plotly, Matplotlib Database MongoDB / PostgreSQL Deployment Streamlit Cloud / Docker
WhatsApp AI Property Assistant
January 1, 2026 – March 1, 2026
Agentic GenAI Bot for Real Estate — Powered by Gemini AI & Selenium Python Gemini AI Selenium WhatsApp License WhatsApp AI Property Assistant is a fully autonomous, agentic AI bot that operates directly inside WhatsApp Web. It acts as Anna — a warm, human-like Pune property agent from PropertyPro — engaging real clients in natural conversation, recommending properties, sending property images, and scheduling site visits, all powered by Google's Gemini 2.5 Flash model.
End-to-End Agentic AI Chatbot
January 1, 2026 – February 1, 2026
A production-ready, multi-agent AI chatbot built end-to-end with LangGraph, CrewAI, LangChain, RAG, and Streamlit — orchestrating intelligent agents that reason, retrieve, and respond.
🌦️ Weather AI Agent
November 1, 2025 – February 1, 2026
Intelligent AI-Powered Weather Assistant using LLMs & Real-Time Weather APIs An AI-powered Weather Assistant that combines Large Language Models (LLMs) with real-time weather data to deliver intelligent, conversational weather insights. This project demonstrates how AI agents can interact with external APIs, understand natural language queries, and provide contextual weather responses in a human-like conversational format.
Term-Deposit-Marketing
September 1, 2023 – October 1, 2023
A banking company wants us to find out a way to improve the success rate for the calls made to their client for investing in term deposite scheme. For this , company provides call center data. After applying EDA on the data. Data balance by undersampling has been done. Followed by feature selection, model building and evaluation. We built Logistic Regression, K- Nearest Neighbour, SVM, Decision Tree, ADA Boost and XGBoost. XGboost performance was the best with F1 score 0.56
Happy Customers in Logistics and Delivery
July 1, 2023 – August 1, 2023
- Built a Customer Service machine learning model to predict customer happiness by analyzing the dataset and modeling with different machine learning models using python. - A start-up company from logistic and delivery domain wants to find out happy and unhappy customers based on the customer's feedback. Company provides us previous survey data to build our model. - After performing EDA , Data Balance and Feature Selection, we build SVM, Logistic Regession, Random Forest nd XGBoost Classifier. Of all XGBoost performs the best with F1 score 73.6%.
Machine learning
Udemy
June 25, 2026 – Present
SEMrush SEO Toolkit Exam
Semrush
June 25, 2026 – Present
Digital Marketing
HubSpot Academy
June 25, 2026 – Present
The python Programming Comprehensive Bootcamp
Udemy
June 25, 2026 – Present
AWS Certifications
AWS Canada
June 25, 2026 – Present
Fundamentals of Agents – Hugging Face
Hugging Face
June 25, 2026 – Present
Certificate of Achievement 🏆 in Building Language Models
Amazon Web Services (AWS)
June 25, 2026 – Present
The knowledge summit'24
MBRF- مؤسسة محمد بن راشد آل مكتوم للمعرفة
June 25, 2026 – Present
Diploma in Dot Net Programming from NIIT
NIIT Limited
June 25, 2026 – Present
Link Building Certificate
Semrush
June 25, 2026 – Present
Rank Tracking Test Certificate
Semrush
June 25, 2026 – Present
Google Ads certification for Search Ads
June 25, 2026 – Present
Agentic AI bootcamp with langraph and langchain
Udemy
June 25, 2026 – Present
Python and Artificial Intelligence coding tools
Udemy
June 25, 2026 – Present
Certificate for AI Revolution in Healthcare Summit 2025
Medvarsity
June 25, 2026 – Present
NumPy & Pandas Masterclass for data analysis and ML
Coursera
June 25, 2026 – Present
Building AI Agents & Agentic AI system via microsoft Autogen
Udemy
June 25, 2026 – Present
Artificial Intelligence In Digital Marketing
Udemy
June 25, 2026 – Present
Digital Marketing Certification
Great Learning
June 25, 2026 – Present
Google Ads certification for Display Ads
June 25, 2026 – Present
Support vector machines in Python
Udemy
June 25, 2026 – Present
The Python Developer Essentials 2023 Immersive Bootcamp
Microsoft
June 25, 2026 – Present
Python with numpy advanced
Microsoft
June 25, 2026 – Present
MongoDB, Express, React, Node, Angular
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from real estate to fashion and logistics, indicates adaptability and a broad interest in applying AI across different domains. The transition from digital marketing/web development to a dedicated AI/ML role shows a strong drive for continuous learning and career evolution. The experience in various company types (IBM, Apziva, KBA) suggests an ability to work in different organizational cultures. The target role of ML Engineer aligns well with the recent experience and educational background.
Soft Skills & Operational Fit
The candidate's experience as a Team Lead and Digital Business & IT Lead suggests strong leadership, team management, and client relationship skills. The project descriptions indicate a problem-solving mindset and an ability to translate business needs into technical solutions. However, without psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration is not possible.