AI/ML Engineering Student

KALACHARLA VINAY

Applied AI/ML engineering with product-minded execution.

I design and build projects that feel current, technically solid, and outcome-focused, from AI systems and analytics pipelines to polished web experiences.

View My Work Download Resume Let's Build
5 AI Systems Core Experiments
1 Client Build Real Delivery
Elite UI/UX Recruiter-Safe Polish
About Me

Building AI, data, and product experiences end to end.

I'm an AI & ML Engineering student focused on turning technical ideas into working systems, from predictive models and analytics pipelines to backend workflows and polished interfaces.

I work best where modeling meets execution. That means handling preprocessing, experimentation, evaluation, and system flow while still caring about how the final project is presented and understood.
My portfolio reflects that builder mindset: simulations, forecasting models, knowledge systems, user-insight analytics, and full-stack applications built to solve practical problems, not just demonstrate tools.
Core Focus Applied ML, analytics, and backend systems

Projects that move from raw data to usable outputs and clearer decisions.

How I Work System-first, outcome-focused, UI-aware

I care about architecture, clarity, and delivery, not only experiments.

Current Direction Forecasting, simulations, and AI product thinking

Exploring practical ML use cases with stronger product presentation quality.

Python Scikit-learn PyTorch Flask JavaScript SQL System Design Responsive UI
Explore Projects Let's Connect
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

Practical Work & Collaboration

Hands-on experience across internship delivery, AI research, hackathon collaboration, full-stack implementation, and analytics-focused systems.

Internship Hackathon AI Research Full Stack Analytics
Internship 6 Weeks

AI/ML Intern - Machine Learning Development

Applied machine learning delivery

Built and improved a stock market trend prediction workflow

Developed an ML pipeline using technical indicators, preprocessing, feature engineering, and classifier tuning to improve short-term prediction performance.

Python Pandas Scikit-learn
Hackathon Team Build

Smart India Hackathon

Collaboration under constraints

Worked in a team on rapid solution design and prototype execution

Contributed to problem analysis, solution framing, and prototype development in a time-constrained innovation environment.

Collaboration Problem Solving Rapid Prototyping
AI Research Simulation

Forest Fire Spread Simulation

Research-oriented modeling

Modeled wildfire propagation using AI-based simulation techniques

Built a simulation using Neural Cellular Automata and graph-based reasoning to study fire spread behavior and high-risk propagation patterns.

Python NCA Graph Models
Full Stack Product Build

Local Food Donation Tracker

Real-world workflow application

Built a donation coordination platform connecting supply and need

Developed backend APIs, tracking workflows, and responsive interfaces for a platform connecting restaurants, donors, NGOs, and volunteers.

Flask JavaScript HTML/CSS
Analytics Backend System

User Insights Extraction

Data processing and behavior analysis

Processed user data to surface patterns and useful insights

Built an analysis flow for preprocessing user data, identifying behavioral patterns, and generating summaries that support better decisions.

Python Pandas Visualization

Skills & Expertise

CORE
💻 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

ðŸ—„ï¸ 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, client-facing builds

🧩 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 tighter showcase of AI systems, applied machine learning, analytics pipelines, and one full-stack platform. The ordering leads with technical depth, then shows product thinking and execution.

6+ Main Projects
15+ Technologies Used
5 AI/Data Systems
1 Full Stack Platform
60%+ Best ML Accuracy

Temporary preview visuals are shown for now. Live demos and repository links will be attached after deployment.

Temporary preview for Forest Fire Spread Simulation
01 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.

Advanced AI Modeling Request Walkthrough
Temporary preview for Stock Market Trend Predictor
02 AI/ML Internship

44% baseline to 60%+

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 improved accuracy through evaluation and tuning.

Applied ML Pipeline Request Walkthrough
Temporary preview for Local Food Donation Tracker
03 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 Request Walkthrough
Temporary preview for LocalMind OS
04 AI Knowledge System

Structured + unstructured inputs

LocalMind OS

Organized user data into an AI-ready knowledge workflow that turns raw inputs into summaries, signals, and actionable 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 Request Walkthrough
Temporary preview for SkillSense
05 AI Skill Platform

Career readiness insights

SkillSense

Analyzed skill profiles to detect gaps, recommend learning paths, and surface career-aligned next steps through AI-driven logic.

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 Request Walkthrough
Temporary preview for Extracting User Insights
06 Analytics Backend

Behavior pattern analytics

Extracting User Insights

Processed user interaction data into reports, patterns, and backend analytics signals that support better product and decision-making workflows.

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 Request Walkthrough
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