Work Preference
Summary
Overview
Education
Skills
Websites
Certification
Languages
Projects
Timeline
Generic
Open To Work

DEEPENDRA BALU

Bengaluru,Karnataka

Work Preference

Job Search Status

Open to work
Desired start date: Open to discussion

Work Type

Full TimePart Time

Location Preference

HybridOn-SiteRemote
Location: Bengaluru, Karnataka, India
Open to relocation: Yes

Salary Range

600000/yr - 2400000/yr

Important To Me

Team Building / Company RetreatsWork from home optionPersonal development programsCareer advancementWork-life balanceCompany Culture

Summary

I’m a Computer Science undergraduate specializing in AI/ML, with hands-on experience building practical software and machine learning applications. I work with Java, Python, and C++, and I also have experience developing React-based web applications and full-stack systems. Through my projects, I’ve worked on everything from responsive e-commerce platforms to an AI-driven industrial diagnostics system for detecting equipment issues and predicting failures. I enjoy turning ideas into working applications and learning how to build reliable, production-ready systems. I’m currently looking for an AI/ML Engineer or Software Engineer internship where I can contribute, learn from experienced teams, and strengthen my skills through real-world engineering work.

Overview

10
10
Certification
3
3
Languages

Education

Bachelor of Technology - Computer Science Engineering (AI/ML)

Garden City University
05.2027

Pre-University - PCMB

Sri Chaitanya Techno School
03.2020

ICSE - undefined

Clarence High School
03.2018

Skills

  • Java
  • Python
  • C
  • SQL
  • HTML
  • React
  • Data Structures & Algorithms
  • Object-Oriented Programming
  • Git
  • VS Code

Websites

Certification

  • Software Testing and Automation, University of Minnesota, 2026-07-01, 7ERBR0R2MKZH
  • Agentic AI Engineering, Edureka, 2026-07-01, KLW17B3JMHSC
  • Exploratory Data Analysis with MATLAB, MathWorks, 2026-07-01, 9MMMWI35Q25D
  • Entrepreneurship I: Laying the Foundation, University of Illinois Urbana-Champaign, 2025-05-01, 700OTP50DEQP
  • Interfacing with the Raspberry Pi, University of California, Irvine, 2026-03-01, RKPT7JIX3VL2
  • Deep Learning, DeepLearning.AI, 2026-03-01, RFN6Y4Q4A2O1
  • IBM Deep Learning with PyTorch, Keras and Tensorflow, IBM, 2026-03-01, DQF05FTB2BCY
  • Flutter and Dart: Developing iOS, Android, and Mobile Apps, IBM, 2026-02-01, Y4D6DU1IHCMF
  • Mobile App Development Capstone Project, SkillUp, 2026-02-01, EDAESXZW45P0
  • Agile Project Management, Google, 2025-01-01, MPV5BKA7RJ5K

Languages

English
Bilingual or Proficient (C2)
Hindi
Advanced (C1)
Tamil
Advanced (C1)

Projects

  • Multi-Turn Conversational RAG Assistant, Built an AI assistant that supports multi-turn conversations by combining a large language model with Retrieval-Augmented Generation (RAG), enabling the system to pull relevant context from a knowledge base and hold coherent follow-up exchanges.
  • Fragrance E-Commerce Website, github.com/DeepX02/perfume-store, Built a responsive e-commerce front end for a perfume/fragrance brand using React 18, TypeScript, and Vite, styled with Tailwind CSS and a shadcn/ui (Radix UI) component library for a polished, accessible interface. Implemented multi-page client-side routing with React Router, and used React Hook Form with Zod for validated forms and TanStack Query for efficient data fetching and caching. Designed reusable UI components — carousels, dialogs, tabs, toasts, and navigation menus — to support product showcasing and a smooth browsing experience.
  • AI Manufacturing Root Cause Analyzer, github.com/DeepX02/AI-root-analyzer, Developed a full-stack predictive-maintenance and diagnostics platform for industrial assets (CNC machines, pumps, compressors, motor drives) that processes high-frequency sensor data to detect anomalies and forecast Remaining Useful Life (RUL). Built the ML pipeline with PyTorch (autoencoder-based anomaly detection) and XGBoost/Scikit-learn (failure classification and RUL regression), paired with a custom explainability engine that attributes faults to root causes. Engineered a FastAPI + SQLAlchemy backend (PostgreSQL, with SQLite fallback) using Celery and Redis for async report generation and model retraining, plus a React, TypeScript, and Vite dashboard; containerized the full stack with Docker Compose.

Timeline

Bachelor of Technology - Computer Science Engineering (AI/ML)

Garden City University

Pre-University - PCMB

Sri Chaitanya Techno School

ICSE - undefined

Clarence High School

Similar Profiles

CREATE PROFILE
DEEPENDRA BALU