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AI Engineer with less than a year in AI/LLM, Java, Spring Boot, and IoT systems
B.Tech ECE graduate (CGPA: 8.60) with hands-on experience in Java, Spring Boot, REST APIs, SQL, Flutter, and embedded systems. Currently working as an Analyst - AI/LLM Practice at Innodata India Pvt. Ltd., contributing to AI model training and large language model evaluation workflows. Built and delivered real-world software and hardware projects end-to-end. Eager to grow in software development, backend engineering, data, or IoT-related roles.
Aditya Institute of Technology and Management
B.Tech · Electronics and Communication Engineering
August 1, 2020 – June 30, 2024
Narayana Junior College
Intermediate (MPC)
June 1, 2018 – May 31, 2020
Sri Krishna Public School
SSC
N/A – May 31, 2018
Innodata India Pvt. Ltd.
Analyst - AI/LLM Practice (Fixed Term)
December 1, 2025 – Present
India
Portfolio Website
June 21, 2026 – Present
Built a fully responsive portfolio hosted on Netlify with a functional real-time calculator
View ProjectJava & Spring Practice Repositories
June 21, 2026 – Present
Maintained active repositories for Java DSA practice, Spring Boot projects, and JavaScript exercises
View ProjectSmart Campus Leave Management System
June 21, 2026 – Present
Built a secure role-based leave management platform with JWT authentication and Spring Security Designed REST APIs with audit tracking, enum-based status handling, and optimized database indexing Integrated real-time WebSocket notifications and Caffeine Cache for performance and email alerts
View ProjectAutomatic Drug Dispenser with QR Code Integration
January 1, 2023 – December 31, 2024
Designed a complete IoT system automating medication dispensing via QR code, reducing hospital queue times Developed Quick_Pharmacy mobile app in Flutter/Dart captures patient details and auto-generates QR codes Programmed Arduino UNO in C++ to control 4 gear motors via HC-05 Bluetooth based on symptom-encoded QR data Machine-side Flutter dashboard scans QR codes and shows real-time DHT11 temperature and humidity readings
Productivity Tools
APSSDC
June 1, 2026 – Present
Full Stack Java Development
WIPRO
June 1, 2026 – Present
SQL and Relational Databases
IBM
June 1, 2026 – Present
Introduction to IoT / Industry 4.0
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from web development (Spring Boot, HTML/CSS/JS) to IoT and mobile apps (Flutter/Dart, Arduino), indicates a broad interest and adaptability. Their current role as an AI/LLM Analyst aligns directly with the 'AI Engineer' target role, showing a clear career direction. The breadth of technical skills (Java, Python, C++, Flutter, SQL, Git, OOP, DSA) suggests a willingness to learn and apply various technologies, which is positive for cultural fit in a dynamic engineering environment. However, the experience level is entry-level, which might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude through personal projects and maintaining practice repositories. Their experience in an AI/LLM Analyst role suggests an ability to work with data quality, follow benchmarks, and collaborate in a team. Participation in extracurriculars like NSS and Robotics Club indicates teamwork and problem-solving skills. However, the current experience is fixed-term and recent, so deeper operational fit and leadership potential would need further validation.