

Generative AI & Data Science Professional with 8+ years of experience, holding a Postgraduate degree in Data Science & Business Analytics from Austin Texas University, and a Bachelor's in Electronics and Communication Engineering. Certified in Microsoft Azure Generative AI (Great Learning) and completed an ML internship at WorldQuant University. Specialized in agentic AI systems, LangChain/LangGraph frameworks, and advanced machine learning model development. Expert in building autonomous AI agents, RAG-based systems, and intelligent workflow orchestration while maintaining strong foundation in traditional ML algorithms and statistical modeling. Proven track record in deploying scalable AI solutions through cloud platforms and containerization. Skilled at deriving actionable insights from complex datasets with a strong focus on innovation and continuous improvement in both generative AI and machine learning domains.
IDE: Jupyter Notebook, Google Colab, PyCharm, VS Code
Generative AI & Agentic Systems: RAG-based systems, LangChain workflows, LangGraph orchestration, Multi-agent systems, AutoGen frameworks, Microsoft Copilot Agent, Prompt Engineering with LLaMA, GPT, Mistral
Machine Learning: Classification, Regression, Linear & Logistic Regression, Decision Trees, Random Forest, XGBoost, NLP, Boosting & Bagging, Neural Networks,Clustering, K-Nearest Neighbors
Statistical Methods: T-test, Chi-Square, PCA, Hypothesis Testing, ANOVA, Time Series Analysis, Odds Ratio, CDF, GARCH Models, A/B Testing, Hypothesis Testing
Data Processing & Analysis: Data Wrangling, Missing & Outlier Treatment, Univariate & Bi-Variate Analysis, Bootstrap & Cross-Validation, Feature Engineering, Tableau, MySQL, KNIME, Exploratory Data Analysis (EDA), Excel
API Development: FastAPI, Flask, Streamlit, RESTful APIs, GraphQL, Walk Forward Validation
Cloud Platforms: Microsoft Azure, AWS
Deployment & Orchestration: Docker, Kubernetes, AWS Lambda, Azure Functions, CI/CD Pipelines, AWS SageMaker, Azure OpenAI, Azure App Services
Version Control: Git/GitHub, Azure DevOps
Vector Databases & Search: FAISS, Pinecone, Azure AI Search, OpenSearch, Elasticsearch, Azure Cosmos DB, MongoDB
Integration & Automation: Power Automate, Power Apps, Microsoft Graph, Dataverse, Web Scraping, Workflow Automation, N8N
Applied Data Science Lab, Machine Learning - (World Quant University)
GenAi Microsoft Azure - (Great Learning)
Applied Data Science Lab, Machine Learning - (World Quant University)