Available for freelance & remote work
// IIIT Guwahati · CSE · Builder

Lavanya
Yadavalli

Full-stack developer & AI/ML engineer who builds web apps, automates workflows, and turns ideas into shipped products — one line of code at a time.

10+
Projects shipped
3
Companies worked with
scroll

About me

I'm a Computer Science engineer from IIIT Guwahati with a love for building things that actually work — whether that's a real-time music platform, an AI chess opponent, or a full business website for a local construction company.

My background spans full-stack web development, machine learning, cloud infrastructure (AWS), and data analytics. I've trained at Amazon ML School, worked at Deloitte, and built real products in fast-moving teams.

Beyond code — I'm a mixed-media artist, dancer, bo staff practitioner, Rubik's cube solver, and plant grower. I believe the best engineers are people with wide curiosity.

Currently: building freelance projects, learning n8n workflow automation, and open to remote opportunities.

Mixed-media art Dancing Bo staff Rubik's cube Growing plants Travelling Cooking

// EDUCATION

IIIT Guwahati
B.Tech — Computer Science & Engineering
GPA: 6.44  ·  Dec 2021 – May 2025
Sri Chaitanya Junior Kalasala
Telangana State Board — Intermediate
97.9%  ·  Aug 2018 – May 2020
10th Standard
Secondary School Certificate
9.8 CGPA

// CERTIFICATIONS

Excel using AI
OfficeMaster Workshop
100 Days of Code: Python Bootcamp
Udemy

Technical skills

🌐
Languages
PythonJavaScriptC++HTML/CSSMySQLReact
☁️
DevOps & Cloud
AWS EC2AWS EKSS3LambdaDockerOACADW
🤖
AI & ML
TensorFlowPyTorchScikit-learnGNNContrastive LearningReinforcement Learning
⚡
Automation & Tools
n8nFirebasePower BIMatplotlibSpring BootNode.js
📊
Data & Analytics
Data VisualizationOracle Analytics CloudFusion Data IntelligenceDSA
🧠
Core CS
DBMSAICloud ComputingComputer NetworksOSMathematics

Experience

July 2025 – Sep 2025
Analyst, AI & Engineering
Deloitte
  • Completed deep training in Python, SQL, Oracle Analytics Cloud (OAC), and Fusion Data Intelligence
  • Implemented ADW connections, dashboards, analysis, and reports in OAC
  • Gained hands-on exposure to real-world business intelligence workflows at scale
Jan 2025 – April 2025
Web Developer Intern
SNS SoftTech Solutions
  • Built a dynamic, cross-browser-compatible art website using HTML/CSS and JavaScript
  • Boosted usability by 80%, reduced support inquiries by 70%, cut onboarding drop-off by 20%
  • Collaborated with design and backend teams to overhaul the entire user experience
July 2024 – Aug 2024
ML Training Program
Amazon ML Summer School
  • Learned and implemented core ML: supervised, unsupervised, and reinforcement learning (Q-learning)
  • Practiced end-to-end ML workflow: preprocessing, feature engineering, model evaluation, CV
  • Deployed models on AWS with hyperparameter tuning and production deployment concepts
Freelance · 2024
Web Developer
Vijaya Sai Constructions
  • Designed and developed a complete company website for a local construction business using HTML, CSS, and JavaScript
  • Created service pages, project gallery, and contact form — fully responsive across all devices
  • Deployed and handed over with a clean codebase — client's first-ever digital presence

Projects

✦ Featured
🎵
Connecting Note

Real-time music social platform — users join music rooms, chat in groups while listening together, send anonymous confessions via email, and request songs. Built for connection through music.

Spring BootPostgreSQLHTML/CSSThymeleafJavaScript
✦ Featured
🎵
OnBeats Music Streaming

Scalable music streaming app with AI-powered recommendations. Optimized API architecture cut load time by 50%. Improved concurrent request handling by 40%. Enhanced user retention by 30%.

Node.jsHTMLCSSAI Recommendations
♟️
Chess AI Opponent

2-player chess game with an AI opponent using Minimax algorithm with Alpha-Beta Pruning. Reduced unnecessary node evaluations by 70%. Custom evaluation using material, mobility, and positional advantage.

PythonMinimaxAlpha-Beta Pruning
🏠
Real-Estate Management System

Full-stack property management platform streamlining transactions and reducing user errors by 50%. Revamped search and filtering algorithms, boosting efficiency by 60% and user engagement by 35%.

MySQLHTMLCSSJavaScript
🏗️
Vijaya Sai Constructions

Complete business website for a local construction company — services, project gallery, team page, and contact form. First-ever digital presence for the client. Fully responsive, fast-loading, deployed live.

HTMLCSSJavaScript
🎮
PyGame Collection

Collection of games built in Python using Pygame — interactive, playable, and a showcase of algorithmic thinking beyond web. Includes classic game mechanics reimagined with custom logic.

PythonPygameAlgorithms
✦ Featured
🤖
Phoenix AI

Production-ready AI customer support platform enabling businesses to automate customer interactions through text and voice. Features appointment scheduling, lead capture, conversation history, and business-specific knowledge retrieval using LLMs.

PythonFastAPIPostgreSQLReactDockerLangChain
✦ Featured
⚡
AI Workflow Automation Platform

AI-powered platform connecting business apps to automate email management, calendar scheduling, document processing, CRM updates, and notifications using intelligent multi-step agents across multiple services.

PythonFastAPILangGraphRedisDocker
🎯
AI Interview Prep Assistant

AI assistant that analyzes resumes, generates personalized technical interview questions, conducts voice-based mock interviews, and provides detailed feedback with customized learning roadmaps based on performance.

PythonFastAPIReactOpenAI APIWhisper
🔬
AI Multi-Agent Research Assistant

Multi-agent AI system performing end-to-end research by coordinating specialized agents for web search, information extraction, and report generation. Features persistent memory, context management, and asynchronous task execution.

OpenAI APIMCPChromaDBDocker

Research

// Graph Contrastive Learning  ·  Under Prof. Upasana Talukdar

Graph Contrastive Learning for Enhanced Graph Embeddings

Refined contrastive loss functions to improve graph representation learning. Analyzed GNN architectures to enhance how graph data is represented for downstream tasks.

+35% graph embedding quality +20% faster model convergence
↗ View paper

Get in touch

Open to freelance,
remote & collabs

Whether you need a website, a web app, ML integration, or workflow automation — I'd love to hear about it. Response within 24 hours.