Mahadev Pandharpote

Hi, I'm Mahadev

Backend Engineer · AI Agent Developer · FastAPI · Python · PostgreSQL · ML

BTech Computer Engineering · Building production-style APIs & ML-powered systems

Try My API Demo Contact Me Resume

About Me

Building Systems That Scale

Computer Engineering graduate with hands-on experience building production-style REST APIs and ML-powered backend systems using Python, FastAPI, Flask, and PostgreSQL. I design modular architectures, write comprehensive test suites, and deploy scalable applications.

I've demonstrated the ability to contribute from day one — implementing full CRUD operations, designing OOP-based backends with separation of concerns, and achieving 100% endpoint coverage through rigorous Postman testing. My work spans real-time ML inference pipelines, emergency alert systems, and large-scale data analysis on 240K+ records.

I'm actively seeking a backend or full-stack engineering role where I can bring both my engineering rigor and data science expertise together.

FastAPI PostgreSQL Python Machine Learning TensorFlow REST API Design Docker AWS (EC2, S3) Google ADK AI Agents FastMCP ChromaDB
Mahadev Pandharpote

"The best way to predict the future is to build it."

— Alan Kay

Core Competencies

🤖 AI Agents & LLMs

Building production-grade multi-agent systems with modern AI frameworks.

  • Google ADK — multi-agent orchestration & workflows
  • FastMCP — Model Context Protocol server design
  • Gemini 2.0 Flash — LLM integration & prompt engineering
  • ChromaDB — vector embeddings & RAG pipelines
  • Human-in-the-loop & reflection agent patterns
  • Agent security: DLP scanning, input sanitization

⚡ FastAPI & Flask

Building production-grade REST APIs with modern Python frameworks.

  • FastAPI with Pydantic models & async support
  • REST API design (CRUD, versioning, validation)
  • Flask web apps & ML inference APIs
  • OOP-based modular backend architecture
  • HTTP status codes, error handling, middleware

🐘 Databases & SQL

Designing schemas and writing performant queries across SQL databases.

  • PostgreSQL, MySQL, SQLite
  • Schema design & data integrity
  • CTE-based & advanced SQL queries
  • ORM patterns & database integration

🧪 Testing & QA

Comprehensive test coverage from unit tests to full API validation.

  • Postman — 20+ test cases per project
  • Positive, negative & edge-case scenarios
  • Payload & HTTP status code validation
  • Unit testing, debugging, bug triage

🤖 Machine Learning

End-to-end ML pipelines from raw data to deployed predictions.

  • Supervised/unsupervised learning (XGBoost, RF, LR)
  • Feature engineering on 20+ attributes
  • SMOTE, SHAP, ROC-AUC evaluation
  • Streamlit & Flask ML deployment

☁️ Cloud & DevOps

Deploying and managing applications with modern cloud tools.

  • AWS EC2 & S3
  • Docker containerization
  • Git & GitHub (version control, CI/CD basics)
  • Streamlit Cloud deployment

📊 Data & Analytics

Transforming raw data into actionable insights and dashboards.

  • Pandas, NumPy, Matplotlib, Seaborn
  • EDA, data cleaning, anomaly detection
  • Demand forecasting & predictive modeling
  • Deep Learning: TensorFlow, CNN, LSTM

📈 Power BI

Building interactive dashboards and compelling data visualizations for business insights.

  • Interactive dashboards & KPI cards
  • DAX measures & calculated columns
  • Power Query — data transformation & cleaning
  • Star schema data modeling (fact + dimension tables)
  • RFM segmentation, scatter plots, slicers

🐍 Python Programming

Core language for data science, backend development, and ML pipelines.

  • Python for data science & scripting
  • OOP, design patterns, clean code
  • Statistical analysis & data preprocessing
  • Feature engineering & pipeline building
  • HTML, CSS, JavaScript (basic)

🧠 Deep Learning & NLP

Building neural network models and NLP pipelines for text and audio data.

  • Neural Networks (CNN, RNN) — TensorFlow
  • Text preprocessing & tokenization
  • Word embeddings (Word2Vec, GloVe)
  • Sequence models (RNN, LSTM)
  • Transformer-based models (BERT)
  • Sentiment analysis & text classification

🛠️ Tools & Dev Skills

Modern development tools and workflows used across data science and backend projects.

  • Git & GitHub — version control, branching
  • Docker — containerization & deployment
  • Jupyter Notebook & VS Code
  • Postman — API testing & validation
  • AWS (EC2, S3), Streamlit Cloud
  • MS Office — Excel, PowerPoint, Word

Live API Demo

Interact with a simulated FastAPI + PostgreSQL Insurance Premium Management API — powered by Claude AI in the background.

GET /policies POST /policies PUT /policies/{id} DELETE /policies/{id}
Request Builder
Waiting for request...

Click Run Request to execute

Featured Projects

Featured — Backend Engineering

FastAPI CRUD Application — Insurance Premium API

// Role: Backend Engineer · FastAPI · PostgreSQL · REST API

  • Built a production-style RESTful API for insurance premium management using FastAPI and PostgreSQL, implementing full CRUD operations across 5+ endpoints.
  • Designed modular backend architecture with OOP principles and separation of concerns, reducing code duplication by approximately 30%.
  • Authored 20+ Postman test cases covering positive, negative, and edge-case scenarios; achieved 100% endpoint coverage.
  • Validated all request/response payloads, HTTP status codes, and database integrity, catching and fixing 10+ latent bugs before deployment.
Python FastAPI PostgreSQL Pydantic REST API Postman OOP Docker
GitHub
🎤 Featured — ML + Backend

Scream Detection & Alert System

// Role: AI Engineer / Full-Stack Developer · Flask · TensorFlow · PostgreSQL

  • Engineered a real-time ML-powered audio classification system with a Flask REST API backend capable of processing live audio streams and triggering emergency WhatsApp alerts within seconds.
  • Implemented event-driven prediction pipeline with structured error logging, enabling fast incident analysis and reducing mean debug time significantly.
  • Achieved robust end-to-end reliability by handling 10+ failure scenarios with defensive coding; tested all input validation and exception handling paths.
  • Designed monitoring and logging module that captures detection outputs, false-positive rates, and system errors for ongoing model improvement.
Python Flask TensorFlow PostgreSQL Twilio API Audio ML
GitHub
🤖 Featured — AI Agents · Kaggle Competition 2026

Sales Pipeline Agent — AI-Powered B2B Prospecting

// Role: AI Engineer · Google ADK · FastMCP · Streamlit · ChromaDB

  • Built a 4-agent sales pipeline using Google ADK that automatically researches companies, scores leads 0–100, drafts personalized cold emails and LinkedIn messages, and saves to CRM — all in ~13 seconds.
  • Designed MCP Server using FastMCP as a separate CRM microservice with 4 tools: add_lead, get_leads, update_status, get_timeline — demonstrating proper service-oriented architecture.
  • Implemented enterprise security suite: DLP output scanner, input sanitizer blocking prompt injection, ISO-8601 audit logging, and environment-variable-only API key management.
  • Built 6-page Streamlit dashboard with live pipeline runner, CRM dashboard, priority ranking, production monitoring, ChromaDB memory explorer, and per-agent execution traces with Gantt charts.
  • Top submission in Kaggle AI Agents Intensive Vibe Coding Capstone Competition 2026 — Agents for Business track.
Google ADK FastMCP Gemini 2.0 Flash ChromaDB Streamlit Python RAG Multi-Agent
GitHub Demo Video Kaggle Writeup

📧 Gmail Outreach Automation System

// Contributor · Streamlit · Supabase · Gmail SMTP

  • Contributed to a production-grade multi-user email outreach platform with campaign analytics, follow-up automation, and bounce detection.
  • System supports A/B testing for subject lines, warm-up scheduler (20→2000 emails/day), and Gmail IMAP reply detection.
  • Supabase PostgreSQL backend with 10 tables, SHA-256 password hashing, and per-user data isolation.
  • Anti-spam suite: randomized delays, MX record validation, rate limiting, daily send limits.
Streamlit Supabase Gmail SMTP IMAP
GitHub

📉 Telecom Customer Churn Prediction

// Data Scientist / ML Engineer

  • End-to-end ML on 243,000+ real customer records
  • XGBoost model: ROC-AUC 0.91 with SHAP explanations
  • SMOTE for class imbalance; feature engineering on 20+ attributes
  • Deployed live on Streamlit Cloud
XGBoostSHAPStreamlit
GitHub Live Demo

🏢 HR Analytics: Employee Attrition

// Data Scientist / Data Analyst

  • IBM HR dataset (1,470 employees) — 86–88% accuracy
  • Random Forest + feature importance analysis
  • Identified: overtime & commute as top churn drivers
  • Live Streamlit app with real-time predictions
Scikit-learnStreamlitSeaborn
GitHub Live Demo

⚽ European Soccer SQL Analysis

// Data Analyst

  • Advanced SQL (CTEs) on large soccer database
  • Player ratings, seasonal trends, home/away analysis
  • Python correlation analysis: defensive pressure vs goals
  • Interactive Power BI dashboards
SQLPower BISciPy
GitHub

📊 Customer Segmentation & RFM Analysis

// Data Analyst

  • RFM scoring → Champions, Loyal, At Risk segments
  • Star schema data model with fact/dimension tables
  • Power BI dashboard with KPIs, scatter plots & slicers
Power BIDAXPower Query
GitHub

🏏 IPL Data Science Project

// Data Scientist

  • Cleaned & engineered IPL datasets for deep analysis
  • Player performance, team efficiency, match trends
  • ML models for match outcome forecasting
PandasMatplotlibScikit-learn
GitHub

🚖 Uber Demand Forecasting

// Data Analyst / ML Engineer

  • Ride data analysis: peak hours, demand geography
  • Feature engineering & anomaly detection
  • Random Forest demand forecasting model
Random ForestSeabornPandas
GitHub

Certificates

🐍 Python
🗄️ SQL
📊 Data Science
🤖 Machine Learning
📈 Power BI
🏥 Data Science & Power BI
AI Adventures, Pune — 2025

Key Strengths

Production-Ready Engineering

Ability to design modular, testable backend systems with clean separation of concerns — not just prototype code.

Rigorous Testing

Catching edge cases before deployment — 20+ Postman test cases per project with 100% endpoint coverage and 10+ latent bugs fixed.

ML-Powered Systems

Bridging the gap between data science and engineering — integrating trained models into production APIs with real-time inference.

Data-Driven Analysis

Strong SQL and analytics skills to extract insights from large datasets — from 240K+ telecom records to Power BI dashboards.

Education

Bachelor of Technology — Computer Engineering

2021 – 2025 · CGPA: 7.94 / 10

Vilasrao Deshmukh Foundation Group of Institutions, Latur

Dr. Babasaheb Ambedkar Technological University, Lonere


Focused on Computer Engineering with strong exposure to Artificial Intelligence, Machine Learning, Data Science, and Full-Stack Development. Built multiple real-world end-to-end projects demonstrating problem-solving, data handling, and backend application development.

// Academic & Personal Projects

  • Book Recommendation System (Collaborative Filtering, Flask)
  • Movie Recommendation System (Content-Based Filtering)
  • Scream Detection AI Application (Flask, TensorFlow)
  • Image Classification (CNN Model)
  • College Website Development (Frontend + Backend)
  • IPL Dataset Exploratory Data Analysis
  • Power BI Dashboards & Data Transformation

My Journey

1

Foundation

Strong Python, SQL, DSA, and CS fundamentals through coursework.

2

Data Science

ML pipelines, Power BI dashboards, EDA on real-world datasets.

3

Backend APIs

FastAPI + PostgreSQL production APIs with full test coverage.

4

AI Agents

Multi-agent systems, MCP servers, RAG pipelines, Kaggle competition.

5

Ready

Seeking backend / AI engineering role to contribute from day one.

Career Aspirations

Seeking Opportunities

I am actively seeking backend or full-stack engineering roles where I can design scalable REST APIs, work with production databases, and bring ML capabilities into real products.

My goal is to work with organizations that value clean engineering, data-driven decision-making, and provide opportunities for professional growth.


Get In Touch

My Goals

  • Build production-grade backend systems at scale
  • Integrate ML/AI into real engineering products
  • Deepen expertise in distributed systems & cloud
  • Work on challenging real-world API challenges
  • Grow within an engineering-first team

Let's Connect

Email

pandmahadev120@gmail.com


Mail Me

Phone

+91 93568 04873

Available for calls about backend & data engineering roles.

Call Me

LinkedIn

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