AI/ML Engineer / Full Stack Builder

Designing AI, data, and web products for real use.

AI/ML engineering across data, backend, and interface delivery.

I build AI, analytics, and web projects that connect data preparation, model logic, backend workflows, and usable interfaces.

View My Work Download Resume Contact Me
6+ Main Projects
AI + Web Core Focus
Python + JS Build Stack
Professional Profile

AI/ML engineering across data, backend, and interface development.

I focus on end-to-end systems that connect data preparation, model development, backend workflows, and usable interfaces.

Professional Focus End-to-end AI/ML, analytics, and application development.

I work across data preparation, model development, backend workflows, and front-end delivery so each project is functional, structured, and reviewable.

Most of my work is project-based: I define the problem, implement the core logic, and present the result in a clear and usable form.

Core Work AI/ML systems, analytics workflows, and backend APIs

Building workflows that turn raw data into structured outputs, insights, and usable services.

Engineering Approach Clear architecture, practical implementation, and maintainable delivery

I aim for projects that are technically sound, clearly structured, and straightforward to review.

Python Scikit-learn PyTorch Flask JavaScript SQL
View Projects Contact Me
Education

Academic Background

A compact view of the academic path behind my AI, analytics, and engineering work.

2023 - Present

B.Tech in AI & ML Engineering

Parul University, Vadodara

Focused on machine learning, analytics, and engineering workflows through project-led learning.

AI / ML Core Degree
2021 - 2023

Intermediate (MPC)

Sri Shirdi Sai Junior College

Built the mathematics and science base that supports my technical problem solving today.

Mathematics Science
Schooling

School Education Foundation

Sri Prakash, Andhra Pradesh

Established strong academic discipline, fundamentals, and learning consistency in earlier schooling.

Foundation Discipline
Certifications

Validated Foundations

Certifications that reinforce my core direction in machine learning, Python, data analytics, and technical fundamentals.

NPTEL 8 Weeks

National Programme on Technology Enhanced Learning

Computer Networks and Internet Protocols

Covered transport layer concepts, TCP behavior, IP addressing, routing algorithms, and network performance fundamentals.

Computer Networks TCP/IP Routing
AI Certified

Infosys Springboard

Artificial Intelligence Foundations

Built a base in AI concepts, machine learning fundamentals, and practical applications of intelligent systems.

AI Fundamentals ML Basics Applications
Python Certified

Infosys Springboard

Python Programming

Strengthened Python programming for scripting, data handling, analysis workflows, and machine learning-oriented problem solving.

Python Data Handling Problem Solving
Data Certified

Infosys Springboard

Data Science & Data Analytics

Covered data processing, visualization, and analytical techniques using Python-driven workflows and reporting.

Data Processing Visualization Analytics
ML Certified

Infosys Springboard

Machine Learning Concepts

Introduced supervised learning, model evaluation, and the end-to-end workflow used in practical machine learning systems.

Supervised Learning Model Evaluation ML Workflow
Experience

Applied Work

A summary of where I have applied machine learning, analytics, and software development so far: internship work, hackathon participation, and independent projects.

Internship Hackathon AI Research Full Stack Analytics
Internship 6 Weeks

AI/ML Internship

Short-term applied ML assignment

Built a stock-direction classification workflow during internship training

Worked with historical market data, technical indicators, preprocessing, and model comparison to build a short-term forecasting pipeline as part of a six-week internship.

Python Pandas Scikit-learn
Hackathon Team Build

Smart India Hackathon

Team-based problem solving

Contributed to solution framing and prototype development in a hackathon setting

Worked with a team to understand the problem statement, break down requirements, and build a prototype under event timelines.

Collaboration Problem Solving Rapid Prototyping
Research Project Simulation

Forest Fire Spread Simulation

Independent technical exploration

Built a wildfire spread simulation using Neural Cellular Automata and graph models

Implemented a simulation pipeline to study how fire propagates across terrain, combining Neural Cellular Automata with graph-based reasoning and visualization.

Python NCA Graph Models
Project Build Full Stack

Local Food Donation Tracker

Workflow and database implementation

Developed a donation tracking platform for donors, NGOs, and volunteers

Built backend APIs, database-connected workflows, and responsive interfaces for managing food listings, discovery, and donation updates.

Flask JavaScript HTML/CSS
Analytics Project Backend Workflow

User Insights Extraction

Data cleaning and reporting workflow

Built a preprocessing and reporting flow for user-behavior data

Processed interaction data, grouped behavior patterns, and generated summaries that could be used for reporting and decision support.

Python Pandas Visualization

Skills & Expertise

A focused skill set built around the work I actually ship: applied machine learning, analytics, backend systems, and polished interfaces.

💻 AI

AI/ML Engineering

Python, experimentation flows, feature engineering, model pipelines

Advanced Used in 4+ projects

Forest Fire, Stock Market, LocalMind OS, SkillSense

🧠 ML

Model Development & Evaluation

Scikit-learn, PyTorch, TensorFlow, tuning, validation

Advanced Measured improvement

Stock Trend Predictor, Forest Fire, AI knowledge systems

📊 DA

Data Analytics & Visualization

Pandas, NumPy, SQL, Matplotlib, EDA, reporting

Strong Insight driven

User Insights, Stock Market, analytics-heavy backend work

🗄️ API

Backend Development & APIs

Flask, REST-style APIs, SQL, data flow, persistence

Strong Production-minded

Local Food Donation Tracker, LocalMind OS, analytics systems

🌐 FE

Frontend Development

HTML, CSS, JavaScript, Tailwind CSS, responsive UI

Strong UI polish

Portfolio site, Local Food Donation Tracker, responsive project interfaces

🧩 SYS

System Design & Product Planning

UML, workflows, feature planning, interface structure

Strong Architecture first

LocalMind OS, SkillSense, portfolio planning and system flows

Working Knowledge

Cloud deployment basics Robotics prototyping Design tooling and wireframing
Selected Work

Featured Projects

A selection of projects across AI systems, machine learning, analytics workflows, and one full-stack platform.

6+ Main Projects
15+ Technologies Used
5 AI/Data Systems
1 Full Stack Platform
Python Primary Language
01 / 06
Screenshot of the Extracting User Insights live demo
01 Analytics Backend

Behavior pattern analytics

Extracting User Insights

Processed user interaction data into reports, patterns, and analytics outputs for reporting and review.

Pandas NumPy Analytics
Data Pipeline Pattern Detection Reporting

Role: Built the analytics pipeline and insight extraction flow for structured reporting and decision support.

Data Analytics System Open Live Demo
Illustrated preview of SkillSense
02 AI Skill Platform

Career readiness insights

SkillSense

Analyzed skill profiles to identify gaps, recommend learning paths, and generate next-step recommendations.

Machine Learning Python Web Tech
Skill Gap Analysis Recommendations Data Processing

Role: Designed the skill analysis workflow and implemented the recommendation and backend processing pipeline.

AI Product Concept Discuss Project
Illustrated preview of LocalMind OS
03 AI Knowledge System

Structured + unstructured inputs

LocalMind OS

Structured user data into a knowledge workflow that turns raw inputs into summaries, signals, and recommendations.

Python AI Workflows UML
Insight Extraction Knowledge Structuring System Design

Role: Developed the backend logic, designed the processing architecture, and documented the system flow with UML planning.

AI System Design Discuss Project
Illustrated preview of Local Food Donation Tracker
04 Full Stack Platform

Location-aware donations

Local Food Donation Tracker

Connected restaurants, volunteers, and NGOs through a community platform for food listings, location-aware discovery, and donation tracking.

Flask JavaScript SQL
Backend APIs Real-time Updates Geolocation

Role: Built the backend APIs, responsive frontend flows, and database integration for donation management and tracking.

Community Product Build Discuss Project
Illustrated preview of Stock Market Trend Predictor
05 AI/ML Internship

Indicator-based forecasting

Stock Market Trend Predictor

Predicted short-term stock direction from historical prices using MA, RSI, MACD, and classifier tuning grounded in feature engineering.

Python Scikit-learn Matplotlib
Technical Indicators Feature Engineering Classification

Role: Preprocessed the data, engineered indicators, implemented the models, and evaluated performance through tuning.

Applied ML Pipeline Discuss Project
Illustrated preview of Forest Fire Spread Simulation
06 AI Research

Neural Cellular Automata + GNN

Forest Fire Spread Simulation

Simulated wildfire propagation across terrain grids using Neural Cellular Automata and graph-based spatial reasoning to study high-risk spread behavior over time.

Python PyTorch / TensorFlow NetworkX
Fire Propagation Terrain Graphs Visual Simulation

Role: Designed the simulation logic, integrated the NCA and graph models, and built time-step visualization outputs for analysis.

Simulation Research Discuss Project
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