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Generative AI Engineer with less than a year in Deep Learning, Prompt Engineering, and RAG architect
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic and innovative Computer Science Engineering graduate with a strong specialization in Artificial Intelligence and Machine Learning. Passionate about Generative AI, with deep academic and project-based experience in LSTMs, GANs, RNNs, and autoencoders. Proficient in Python, database architectures (including vector database concepts), and API integration. Eager to leverage foundational expertise in Prompt Engineering, RAG architectures, and LangChain to build cutting-edge Generative AI solutions as a Generative AI Engineer at Polluxa.
Hindusthan College of Engineering and Technology
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Hindusthan Matriculation Higher Secondary School
Class XII · TamilNadu State Board
June 1, 2021 – May 31, 2022
Hindusthan Matriculation Higher Secondary School
Class X · TamilNadu State Board
June 1, 2019 – May 31, 2020
Fraud Detection System
June 25, 2026 – Present
Managed large-scale datasets hosted in cloud-based environments to evaluate system behavior and maintain high data integrity, foundational for RAG-based architectures. Monitored complex data flows, ensuring clean, high-quality data ingestion—a critical requirement for building reliable Generative AI pipelines.
MSME 4.0 Hackathon: Railway Management System
June 25, 2026 – Present
Engineered a Railway Management System with backend scheduling and logic workflows.
Generative AI Research & Implementation
June 25, 2026 – Present
Core Focus: Advanced Deep Learning Architectures. Hands-on experience in building and tuning LSTMs, GANs, and autoencoders for sophisticated predictive and generative tasks. Researched image-based animal classification systems, focusing on optimizing high-dimensional data handling and neural network feature extraction.
Crime Prediction and Analysis
June 25, 2026 – Present
Analyzed system performance by monitoring compute and memory utilization during heavy, data-intensive machine learning analysis routines. Optimized algorithmic efficiency, ensuring robust backend stability—a vital practice when deploying Generative AI models at scale.
Smart India Hackathon: Alumni Database Management system
June 25, 2026 – Present
Developed an Alumni Database Management system, mastering the structured ingestion and relational mapping required for efficient data handling.
Uyir Hackathon 2024 (Finalist): Real-time safety solutions
June 25, 2026 – Present
Coordinated within a fast-paced development sprint to build real-time safety solutions, emphasizing rapid prototyping and feature validation.
Cultural Fit Analysis
The candidate's academic projects and hackathon participation demonstrate a proactive, hands-on approach to learning and problem-solving. The diversity of projects, from generative AI research to database management and real-time safety solutions, indicates adaptability and a broad interest in applying technical skills. The explicit mention of collaborative communication aligns with team-oriented environments. The target role of Generative AI Engineer aligns well with the candidate's stated specialization and project focus.
Soft Skills & Operational Fit
The candidate highlights problem-solving, research-driven development, and collaborative communication as soft skills. Project descriptions suggest an ability to work in fast-paced environments (Uyir Hackathon) and manage data integrity. The focus on optimizing algorithmic efficiency and monitoring system performance indicates an operational mindset relevant to deploying AI models.