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AI Engineer with less than a year in Data Engineering & Full Stack Development
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Highly motivated and results-driven individual with 0.8 years of hands-on experience in Data Engineering and Full Stack Development. Proficient in a wide range of programming languages and AI frameworks, including Python, Java, LangGraph, and Langchain. Proven ability to design and implement robust ETL pipelines, develop multi-agent AI systems, and contribute to complex projects involving graph neural networks and blockchain technology. Eager to leverage strong problem-solving skills and technical expertise to contribute to innovative AI and data-driven solutions.
Cochin University of Science and Technology
MTech · Software Engineering & AI
August 1, 2024 – June 30, 2026
KTU, CE Chengannur
BTech · Computer Science and Engineering
August 1, 2020 – June 30, 2024
GVHSS Thalikulam
DHSE · Computer Science
June 1, 2018 – May 31, 2020
CHISQUARE LABS
Data Engineer Intern
March 1, 2026 – Present
Cochin, Kerala, India
Lealabs Pvt. Ltd.
Full Stack Developer Intern
May 1, 2025 – August 31, 2025
Cochin, Kerala, India
Spoiler Detection from movie reviews using Graph Neural Networks
March 1, 2026 – March 1, 2026
Engineered an advanced natural language processing system utilizing a Hybrid GAT-BERT model to automatically identify and flag spoilers in movie reviews. Leveraged Graph Attention Networks (GAT) to capture complex structural relationships in text, integrated with BERT for deep semantic context. Designed the architecture to enhance classification accuracy, demonstrating strong proficiency in applying deep learning to complex language tasks.
Predictive Maintenance Agentic System
August 1, 2025 – August 1, 2025
Developed an AI-driven system for predictive maintenance in industrial equipment. Utilized multi-agent architecture to monitor equipment parameters, predict failures, and recommend maintenance actions. Implemented backend using Python with real-time data processing for proactive decision-making.
Instant Messaging App
January 1, 2025 – April 30, 2025
Developed a real-time messaging application with secure data storage and a user-friendly interface. Built the frontend using Flutter and the backend with Django. Integrated Twilio for messaging services and Redis for caching.
Z-Vote: Blockchain-Based E-Voting System
January 1, 2025 – January 1, 2025
Built a Django-based e-voting system using blockchain principles for secure and immutable votes. Integrated Twilio OTP for voter authentication and a Bootstrap frontend with SQLite3 database. Prototype demonstrates transparent and tamper-proof electronic voting.
Carpooling App
January 1, 2025 – April 30, 2025
Cross-platform ride-sharing application with real-time ride scheduling and user authentication. Built the frontend using React.js and integrated Firebase for backend services and database management.
Satellite Image Landscape Classification
August 1, 2024 – December 31, 2024
Built a ML model using KNN to classify zoomed-in satellite images (100mm-400mm) as either inhabited or uninhabited. Added preprocessing pipelines, feature engineering, and accuracy evaluation metrics.
Smart Irrigation Monitoring System
August 1, 2024 – November 30, 2024
IoT-based irrigation system using ESP8266 and AWS. Enabled real-time soil moisture monitoring, automated water control, and cloud dashboard visualization for farmers.
Mentorship Platform - Successage
December 1, 2023 – April 30, 2024
Mobile mentorship app connecting mentors and mentees. Built using Flutter (frontend) and Firestore (backend). Implemented authentication, profile management, and scheduling features.
Certificate of Training – IBM SkillsBuild (CSRBOX) - Agentic AI: From Learner to Builder – Become an AI Agent Architect
IBM SkillsBuild (CSRBOX)
June 1, 2026 – Present
Android App Development
Internshala Online Training
June 1, 2026 – Present
Python Programming
NPTEL
June 1, 2026 – Present
NPTEL Online Certification – IIT Guwahati (SWAYAM) - Applied Accelerated Artificial Intelligence
IIT Guwahati (SWAYAM)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of interests, from NLP and predictive maintenance to IoT and blockchain, indicating a curious and versatile mindset. The involvement in both AI-focused and full-stack development projects suggests a willingness to explore different technical domains. The current internship at CHISQUARE LABS, focusing on multi-agent AI and ETL pipelines, aligns well with an innovative and technically driven culture. The breadth of skills and project types suggests a candidate who can adapt to various team needs and contribute across different aspects of AI development.
Soft Skills & Operational Fit
The candidate lists 'Time Management', 'Teamwork', and 'Problem-Solving' as soft skills. Project descriptions indicate experience in collaborative environments (e.g., Carpooling App, Mentorship Platform) and managing complex technical tasks. The internship experience in a startup environment suggests adaptability and a proactive approach, which are beneficial for operational fit.