Sales Assist Agentic AI
Multi-agent sales assistant powered by LLMs for intelligent lead qualification, product recommendations, and automated customer interactions.
LangGraph, Multi-Agent, RAG
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23-year-old Data Scientist & AI Developer. Specializing in GenAI, Agentic AI, Machine Learning, and Data Science — architecting intelligent multi-agent systems, RAG pipelines, and LLM-powered applications.
Records Processed
Documents Analyzed
Model Accuracy
Cost Reduction
Technologies I Work With
Python, SQL
Pandas, NumPy, Scikit-learn, PyTorch, Keras, matplotlib, OpenCV
NLP, ETL, Statistical Analysis, EDA, Regression, Classification, Clustering
LLMs, LangChain, RAG, Agentic Workflows, Langgraph
AWS (SageMaker, S3, Bedrock, EC2, ECR), Docker, FastAPI, Streamlit, Mlflow
Git, GitHub, Power BI, Advanced Excel, HTML, CSS, Data Storytelling, Web Scraping
NIT Jamshedpur
Multi-agent sales assistant powered by LLMs for intelligent lead qualification, product recommendations, and automated customer interactions.
LangGraph, Multi-Agent, RAG
open_in_newIntelligent FAQ chatbot for fintech, leveraging RAG architecture to provide accurate, context-aware answers from knowledge base.
LangChain, FAISS, Embeddings
open_in_newConversational AI agent for airline customer service - handling bookings, flight status, and travel inquiries with natural language.
OpenAI, Function Calling, API
open_in_newContent-based and collaborative filtering recommendation engine using ML algorithms to suggest personalized movie picks.
Scikit-learn, NLP, Cosine Sim
open_in_newSophisticated document intelligence tool for PDF Q&A using OpenRouter APIs and Qwen/Gemini multimodal models.
Python, LangChain, FAISS
Built an interactive dashboard to visualize and analyze live data from over 50+ sensor streams for anomaly detection.
Streamlit, Plotly, Pandas
Designed a GenAI workflow to automatically create compelling marketing brochures and layout suggestions.
Gen AI, Python, Prompt Eng
Developed a predictive model to identify high-potential leads for travel packages. 90.3% Accuracy.
Scikit-learn, Gradient Boosting
Created a regression model to predict Fire Weather Index components. R² score of 98.4%.
Ridge Regression, Lasso
Designed an interactive Excel-based dashboard consolidating sales data, implementing dynamic slicers and automated macros.
Advanced Excel, VBA, Power BI
Conducted deep-dive exploratory analysis on Algerian Forest Fire dataset to reveal key weather correlations using SQL and Python.
SQL, Pandas, Statistics
I'm currently available for freelance projects and full-time opportunities.