Abhishek IJ

Java Full Stack Developer | Machine Learning Engineer

"Building scalable backend systems and intelligent AI-driven solutions."

About Me

I am a final-year Information Science Engineering student with a CGPA of 8.0, specializing in backend development and machine learning. I have strong expertise in Java, Spring Boot, and REST APIs, along with hands-on experience in building scalable systems and AI-driven applications.

I am passionate about solving real-world problems through technology, with a strong foundation in data structures, system design, and cloud-based architectures. My experience includes developing full-stack applications, optimizing backend performance, and integrating machine learning models into production systems.

🎓 Education

B.E. Information Science & Engineering
The Oxford College of Engineering
2022 – 2026 | CGPA: 8.0/10
Relevant Coursework: OOP, DBMS, DSA, OS, CN, Advanced Java

⚡ Core Competencies

• System Design (HLD/LLD, SOLID)
• Performance Optimization
• Cloud Migration (AWS)
• AI Model Deployment
• RESTful Architecture

Technical Arsenal

Java (Advanced)

Python

C/C++

JavaScript (ES6)

SQL

TypeScript

Spring Boot

REST APIs

MySQL/PostgreSQL

JPA/Hibernate

Git/GitHub

AWS (EC2, RDS)

Data Structures & Algorithms

Operating Systems

Computer Networks

DBMS (Indexing, Optimization)

System Design (HLD/LLD)

SOLID Principles

Scikit-learn

PyTorch

Pandas/NumPy

NLP (NLTK, spaCy)

Hugging Face

LangChain

CNN / LSTM / Attention

Professional Journey

KodNest – Java Full Stack Trainee

Feb 2026 – Present | Bangalore, KA

Undergoing rigorous training in Java, Spring Boot, REST APIs, and MySQL. Developing backend microservices with emphasis on business logic, database schema design, and API integration. Studying System Design fundamentals (HLD/LLD, SOLID, Design Patterns). Strengthening problem-solving via LeetCode & system design case studies.

Infosys Springboard – Full Stack Java Developer Intern

Oct 2024 – Dec 2024 | Bangalore, KA

Architected a full-stack Sports Management System using Java, Spring Boot, PostgreSQL. Optimized JPA queries reducing API latency by 80%. Integrated Python ML models (Pandas, Scikit-learn) improving team strategy outcomes by 15%. Deployed AI-driven recommendation engine for training regimens and lineup generation.

Engineering Impact

Air Pollution Forecasting System

ESP32 · CNN-LSTM · Attention · Flask · IoT

End-to-end mobile air quality monitoring using IoT sensors. Hybrid CNN–LSTM with attention mechanism achieved MAE: 24 AQI, R²: 0.87. Built Flask web app with REST APIs for real-time visualization and route-based pollution exposure estimation.

📊 MAE 24 | R² 0.87 | Real-time IoT

AWS Server Migration & Estimation

Random Forest · XGBoost · EC2 · Cloud Optimization

ML-driven system to estimate on-prem server resources and map to AWS EC2 instances. Reduced overprovisioning by analyzing workload patterns, CPU/GPU utilization. Implemented GPU-aware job estimation for seamless cloud migration planning.

⚡ Cost reduction 32% | 99% migration accuracy

LoRa Emergency Communication Device

LoRa · GPS · Solar/Dynamo · IJARSCT 2025

Published research: disaster-resilient device for off-grid SOS messaging. Enables predefined alerts and location sharing without internet or external power. Designed for remote deployments and emergency scenarios.

📡 Off-grid | Solar-powered | SOS protocol

Research & Publication

LoRa-Based Emergency Communication Device Without Network or External Power

IJARSCT (International Journal of Advanced Research in Science, Communication and Technology) – Volume 5, Issue 3, 2025

Proposed a disaster-resilient, solar- and dynamo-powered communication device using LoRa and GPS. Designed for off-grid deployment, the device enables SOS messaging and predefined alerts without internet dependency. Validated through range testing and power efficiency analysis.

Achievements & Accolades

🏆 Coding & Competitions
• TCS CodeVita Global Rank 1917
• CodeChef National Winner (1st/2800)
• 1st Place College Technical Quiz
• Runner-Up OXYIGNITE-2K23 Web Design (48 teams)

📜 Professional Certifications
• OCI Data Science Professional (80%)
• OCI AI Foundations Associate (95%)
• Google Data Analytics Certificate
• Advanced Java & Spring Boot (Infosys)

Leadership & Mentorship

CSI Technical Head | Computer Society of India
Led a team of 12 to organize state-level hackathons with 200+ participants. Conducted technical workshops on Java, DSA, and ML fundamentals. Mentored 50+ junior students in competitive programming and full-stack development projects.

Start a Conversation

📞 Direct Line
+91 90191 41905

✉️ Email
abhishek.ij,2003@gmail.com