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Tirthraj Bhalodiya

Tirthraj Bhalodiya

AI & Machine Learning Enthusiast

Bangalore, India 1+ yrs exp 78 · Very Good

About

No bio added yet

Skills & Expertise (33)

Python Intermediate
7.8/10
2
Years Exp
Machine Learning Intermediate
7.6/10
2
Years Exp
Deep Learning Intermediate
7.4/10
2
Years Exp
C++ Intermediate
6.6/10
2
Years Exp
C# Intermediate
6.4/10
2
Years Exp
Google Cloud Console Intermediate
6.0/10
2
Years Exp
SQL Intermediate
6.0/10
2
Years Exp
REST APIs Intermediate
6.0/10
2
Years Exp
Docker Intermediate
5.8/10
2
Years Exp
Kubernetes Intermediate
5.6/10
2
Years Exp
Data Science Intermediate
5.4/10
2
Years Exp
NoSQL Intermediate
5.0/10
2
Years Exp
LINUX Graph Neural Networks Data Analytics Apache Kafka Apache Spark Apache Hadoop Large Language Models Natural Language Processing CNN Unity .NET Postman Azure Kubernetes Service Git Firebase AWS Cloud Logging Azure Firebase Crashlytics Redis RDBMS

Work Experience

Software Engineer

Gajabuja

Apr 2026 - Jul 2026

Shipped core client-side features and live-service updates for a high-traffic mobile application using C and .NET-based architecture, rolling out 5+ major updates implementing reusable manager patterns. Integrated backend systems utilizing Firebase for data persistence and Redis for distributed caching; collaborated on server-side APIs to achieve a 30% reduction in server response time. Configured secure OAuth systems (Apple and Google Sign-In) for cross-device synchronization, securely supporting 10,000+ active concurrent users. Monitored production health by analyzing server logs in Google Cloud Console and tracking crashes via Firebase Crashlytics, achieving a 99.5% crash-free session rate and reducing average bug-resolution time by 30%. Deployed third-party monetization SDKs and integrated 7+ external demand sources (including Meta and InMobi) into the application pipeline, improving fill rates by 25% and boosting overall revenue by 15%. Engineered deep-link routing flows using Adjust tracking to support referral journeys, successfully redirecting 10,000+ users monthly to specific application modules and improving user acquisition conversion by 20%. Delivered robust user-facing systems with complex state handling and UI animations, contributing to a 15% increase in Daily Active User (DAU) retention and driving thousands of daily impressions.

Associate Software Engineer

Gajabuja

May 2025 - Apr 2026

Shipped core client-side features and live-service updates for a high-traffic mobile application using C and .NET-based architecture, rolling out 5+ major updates implementing reusable manager patterns. Integrated backend systems utilizing Firebase for data persistence and Redis for distributed caching; collaborated on server-side APIs to achieve a 30% reduction in server response time. Configured secure OAuth systems (Apple and Google Sign-In) for cross-device synchronization, securely supporting 10,000+ active concurrent users. Monitored production health by analyzing server logs in Google Cloud Console and tracking crashes via Firebase Crashlytics, achieving a 99.5% crash-free session rate and reducing average bug-resolution time by 30%. Deployed third-party monetization SDKs and integrated 7+ external demand sources (including Meta and InMobi) into the application pipeline, improving fill rates by 25% and boosting overall revenue by 15%. Engineered deep-link routing flows using Adjust tracking to support referral journeys, successfully redirecting 10,000+ users monthly to specific application modules and improving user acquisition conversion by 20%. Delivered robust user-facing systems with complex state handling and UI animations, contributing to a 15% increase in Daily Active User (DAU) retention and driving thousands of daily impressions.

Machine Learning Intern

LearnTricks

Mar 2024 - Apr 2024

Created enhanced predictive models for identifying spam content, achieving over 90% precision and slashing unwanted emails reaching user inboxes by 15% during rigorous two-week evaluation periods. Analyzed social media content using NLP techniques, extracting insights from over 1,000 posts to identify key trends in consumer sentiment and enhance user engagement strategies for the brand’s online presence.

Machine Learning Intern

Acmegrade

Jul 2023 - Sep 2023

Designed and implemented a music recommendation system in Python, achieving over 90% recommendation accuracy by leveraging collaborative and content-based filtering techniques. Analyzed user preference data to deliver personalized music suggestions, enhancing user engagement by an estimated 30%. Developed a movie recommendation system tailored to individual user preferences, achieving 85% recommendation accuracy. Applied matrix factorization and nearest neighbor algorithms to generate personalized movie suggestions, increasing user satisfaction by approximately 25%.

Education

B.Tech in Computer Science and Engineering - PES University

2021 - 2025 · Afghanistan

Certifications

Building Recommendation System

Great Learning · 2025

AWS Educate Getting Started with Storage

Amazon Web Services · 2024

AWS Educate Getting Started with Networking

Amazon Web Services · 2024

AWS Educate Getting Started with Serverless

Amazon Web Services · 2024

Foundations : Data , Data , Everywhere

Coursera (Google) · 2023

A Beginner’s Guide to Linux Kernel Development LFD103

The Linux Foundation · 2023

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 0/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 8/15
💰 Rate 0/5
🏆 Certs 5/5
✅ Verified 5/5
Total Score 78/100

Profile Overview

Member sinceOct 2026