Hi, I'm Tejas Pavan B

Software Engineer & Co-Founder | Full-Stack Developer | AI/ML Specialist

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About Me

Learn a bit about who I am and what I do

Hello! I'm Tejas Pavan B, a Computer Science Engineering student at Visvesvaraya Technological University (Rajarajeswari College of Engineering) with a GPA of 9/10. As a Software Engineer & Co-Founder at BegiNet and Founding Member at Klyvus, I specialize in building scalable backend infrastructure, AI-powered systems, and production-grade applications.

I've architected and deployed an AI-powered pitch deck analysis system serving 250+ active users, developed scalable backend infrastructure with 99.9% uptime, and optimized database queries achieving 60% latency reduction. My expertise spans full-stack development, machine learning, cloud architecture, and system design.

Co-Founder
AI/ML Specialist
Backend Engineer
Cloud Architect

In my free time, I work on personal projects, participate in hackathons, and contribute to the tech community. I'm always looking for new challenges and opportunities to grow professionally and personally.

Tejas Pavan B

My Skills

Technologies and tools I work with

Python

Java

C++

JavaScript

Node.js

Flask

Express.js

Next.js

PostgreSQL

MySQL

Redis

Microsoft Azure

Linux

Git

TensorFlow

Scikit-learn

OpenCV

REST APIs

Microservices

CI/CD

WebSocket

My Projects

Some of my recent projects

BegiNet AI Pitch Deck Analysis Platform

Python, Node JS, JavaScript, Azure, PostgreSQL, Redis, TensorFlow

Architected and deployed an AI-powered pitch deck analysis system that evaluates startup applications across multiple dimensions (team composition, compliance, market cap, competitive landscape), generating automated scores and matching startups with relevant investors. Developed scalable backend infrastructure serving 250+ active users using Python, Node.js, JavaScript, and Azure achieving 99.9% uptime with production-grade reliability and comprehensive test coverage. Built AI-driven matching algorithm using Python and TensorFlow processing multiple data points daily improving founder-investor match relevance by 40%. Engineered REST APIs with authentication and role-based access controls handling 50,000+ monthly requests with sub-200ms response time through Redis caching. Optimized PostgreSQL database queries achieving 60% latency reduction by implementing strategic indexing, query optimization, and connection pooling techniques.

Visit BegiNet

Klyvus Field Operations Reporting System

Python, Flask, PostgreSQL, JavaScript, Google Maps API

Built custom reporting software using Python, Flask, and PostgreSQL enabling 15+ field employees to track attendance, performance, doctor visits, and geolocation in real-time. Developed automated analytics dashboard reducing manual reporting time by 75% and enabling data-driven decision making through KPI visualization for management. Implemented geolocation tracking and verification system using JavaScript and Google Maps API processing 300+ daily check-ins with validation logic for field operations. Designed relational database schema with normalized tables supporting complex JOIN queries and automated weekly performance report generation. Created responsive web interface with data visualization components displaying real-time metrics and historical trends for business operations analysis. Worked across full technology stack from database design and backend API development to frontend ensuring seamless integration between dashboard and mobile applications.

Visit Klyvus

Breast Cancer Detection Using Deep Learning

Python, TensorFlow, Keras, OpenCV, Kaggle API

Built a CNN model to classify invasive ductal carcinoma (IDC) using the Kaggle IDC dataset, containing 277,524 image patches. Achieved 97% accuracy in classifying malignant vs. benign tissue samples.

GitHub

DeepFake Detective

Python, TensorFlow, Keras, OpenCV, Flask

An AI-powered web application to detect deepfake content in images and videos. Utilizes MesoNet model for image analysis and frame-by-frame video processing.

GitHub

Credit Card Fraud Detection Using Machine Learning

Python, scikit-learn, imbalanced-learn, Kaggle API

Preprocessed data by scaling features and applying SMOTE to handle class imbalance. Implemented a Logistic Regression model and achieved an ROC-AUC score of 0.98.

GitHub

Mental Health Support Chatbot for Students

Python, Hugging Face Transformers (GPT-Neo 1.3B), NLTK, Random

Utilized NLTK for real-time sentiment analysis and coping strategies to detect users' emotional states from text inputs. Integrated GPT-Neo 1.3B model to generate empathetic, conversational responses.

GitHub

Experience

My professional journey

Software Engineer & Co-Founder

BegiNet | Bangalore, India

Jan 2025 – Present

Architected and deployed an AI-powered pitch deck analysis system evaluating startup applications across multiple dimensions, generating automated scores and matching startups with relevant investors. Developed scalable backend infrastructure serving 250+ active users using Python, Node.js, JavaScript, and Azure achieving 99.9% uptime. Built AI-driven matching algorithm improving founder-investor match relevance by 40%. Engineered REST APIs with authentication and role-based access controls handling 50,000+ monthly requests with sub-200ms response time through Redis caching. Optimized PostgreSQL database queries achieving 60% latency reduction. Designed real-time collaboration features with WebSocket connections. Implemented CI/CD workflows using GitHub Actions enabling zero-downtime deployments.

Software Engineer & Founding Member

Klyvus Private Limited | Bangalore, India

Oct 2023 – Present

Built custom reporting software using Python, Flask, and PostgreSQL enabling 15+ field employees to track attendance, performance, doctor visits, and geolocation in real-time. Developed automated analytics dashboard reducing manual reporting time by 75% and enabling data-driven decision making. Implemented geolocation tracking and verification system using JavaScript and Google Maps API processing 300+ daily check-ins. Designed relational database schema with normalized tables supporting complex JOIN queries and automated weekly performance report generation. Created responsive web interface with data visualization components displaying real-time metrics and historical trends.

Education

My academic background

Bachelor of Engineering, Computer Science

Visvesvaraya Technological University (Rajarajeswari College of Engineering)

Expected June 2027

GPA: 9/10 (90%)

Relevant Coursework: Data Structures, Algorithms, Database Systems, Operating Systems

Harvard CS50

11-week computer science course covering algorithms, data structures, and software engineering principles

Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate

Oracle Cloud Infrastructure AI Foundations certification demonstrating expertise in AI/ML fundamentals on OCI platform. View Certificate | View Badge

JPMorgan Chase Software Engineering Virtual Experience

Credit card rewards system development and test suite implementation

Verizon Cloud Platform Certification

Cloud-native architecture, redundancy, resiliency, and security best practices

Smart India Hackathon

Ranked #2 out of 54 teams demonstrating problem solving skills and rapid prototyping

AI/ML Technical Club Associate

Active contributor focusing on machine learning projects and peer mentoring

Contact Me

Get in touch

Email

tejaspavan1@outlook.com

Phone

+91 7348843159

Location

Bangalore, India

LinkedIn

linkedin.com/in/tejaspavanb

GitHub

github.com/tejaspavanb