Available for Opportunities · Hyderabad, India

Building Intelligent
Systems That
Drive Results

Agentic AI Engineer and Data Scientist with 3+ years delivering autonomous pipelines, predictive models, and analytics platforms that generate real business impact.

₹1.4Cr
Revenue Impact
3,000+
Leads Generated
20hrs
Saved Weekly
🤖

Agentic AI Systems

Designing autonomous multi-agent pipelines that replace manual workflows end-to-end in production.

LangChain · LangGraph · OpenAI
📊

Data Science & Analytics

From raw data to deployed predictive models and executive dashboards that drive decision-making.

Python · Power BI · scikit-learn
🏗️

AI Product Architecture

Translating complex AI capabilities into clear product roadmaps that engineering teams can execute.

Product Strategy · SQL · APIs
About Me

Engineer. Analyst.
Builder.

I build things that generate revenue and save real money. With a Bachelor of Technology in Data Science from KL University and 3 years of full-time experience across 4 organizations, I sit at the rare intersection of deep technical capability and business acumen.

My edge: most engineers who build agent systems don't understand the business context. Because I've managed ad budgets, written product roadmaps, and analyzed why campaigns succeed or fail — I build systems that actually get adopted.

Agentic AI
LLM Orchestration
Python
SQL
Power BI
Machine Learning
LangChain
RAG Pipelines
5+
Years Building Intelligent Products
4
Organizations Delivered Impact
18+
Corporate Hiring Partners Connected
82%
Accuracy — Published ML Research
40%
Operational Cost Reduction Delivered
80%
Faster Product Delivery at Eject
Experience

Where I've
Made an Impact

November 2025 — Present
Agentic AI Engineer
Teetotaler.ai · Full-time
  • Deployed 5 autonomous agent pipelines saving 20+ hours of manual operations weekly — equivalent to ₹1.2L/month in recovered capacity.
  • Reduced client report delivery from 3 days to under 4 hours through LLM-powered automated workflows.
  • Established the agency as one of fewer than 5 fully agent-native marketing firms in the region.
August 2024 — November 2025
Business Analyst & AI Product Lead
Eject Solutions Pvt Ltd · Full-time
  • Led CredoFolio — an AI product for automated portfolio generation — accelerating delivery by 80% within 3 months.
  • Generated 3,000+ qualified leads for PP Savani University, ranked #1 campaign of the fiscal year out of 6 active campaigns.
  • Cut developer clarification cycles from 5 days to 1 day per feature through structured requirement documentation.
March 2023 — March 2024
Marketing Analytics Analyst
INT360 Design Studio · Full-time
  • Built Python automation scripts that saved a team of 8 people 30% of manual outreach time weekly.
  • Reduced Cost Per Lead by 20% over 6 months across 15+ Meta campaigns — saving ~₹8L in annual ad waste.
  • Built 3 Power BI dashboards managing ₹50L+ in ad spend decisions across 10+ clients.
Projects

What I've Built

Production-grade AI systems and analytics products — each with a live demo.

📄
01
RAG Document Q&A Agent
Upload any PDF or document and ask questions in natural language. The agent retrieves the exact relevant sections and answers accurately — no hallucination.
LangChain ChromaDB OpenAI Streamlit
⚙️
02
Multi-Tool Autonomous Agent
Give the agent a complex task. It plans, selects the right tools — search, calculator, database — and executes each step autonomously until the goal is complete.
OpenAI API Tool Use ReAct Python
📈
03
Data Analysis Agent
Upload a CSV, ask a business question. The agent writes and executes Python code, analyses the data, generates charts, and produces a written report — fully automated.
Code Interpreter Pandas Matplotlib GPT-4
🔗
04
LangGraph Multi-Agent Pipeline
A content production system where specialized agents — researcher, editor, writer — collaborate in a defined workflow with human-in-the-loop approval gates.
LangGraph Multi-Agent Workflow Python
🔬
05
Diabetes Risk Prediction Engine
Published ML research. A classification model trained on 768 patient records achieving 82%+ accuracy, deployed as a live Streamlit web application for real-time risk forecasting.
scikit-learn Streamlit Published Kaggle
Currently Building
Campus Talent Platform
EdTech platform managing student placement across 2 universities and 18+ corporate partners. Automated screening, routing, and CRM workflows.
In Progress — Aug 2025
Research

Published Work

2022
Diabetes Data Analysis and Machine Learning Based Prediction Model on Streamlit Web Application
Peer-reviewed research covering feature selection, ensemble modeling, and real-time clinical risk prediction. Trained on 768 patient records, achieving 82%+ classification accuracy. Deployed as a live interactive web application.
Peer Reviewed · Oct 2022
Contact

Let's Build Something
That Matters

Available immediately. Open to full-time, contract, and consulting roles in Agentic AI and Data Science.