AI Engineer with less than a year in Machine Learning & Generative AI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech graduate in Artificial Intelligence and Data Science with hands-on experience in machine learning, LLM fine-tuning, NLP and computer vision. Skilled in parameter-efficient training using LoRA/QLoRA, developing end-to-end ML pipelines, and deploying models for real-world applications. Seeking AI/ML engineering roles focused on applied deep learning and generative AI.
APJ Abdul Kalam Technological University
B.Tech · Artificial Intelligence and Data Science
November 1, 2021 – May 1, 2025
ICFOSS, Govt. of Kerala
AI/ML Intern
August 1, 2025 – February 1, 2026
Kerala, India
Lightweight NER Fine-Tuning with Qwen (0.5B)
June 19, 2026 – Present
Fine-tuned a 0.5B Qwen base model for Named Entity Recognition using LoRA/QLoRA on low-resource consumer GPU. Built structured JSON entity extraction pipeline using CoNLL-2003 and synthetic datasets, achieving 100% JSON-valid outputs with an F1 score of 0.891. Deployed model on Hugging Face Spaces and developed a Streamlit-based evaluation dashboard.
MCP-Powered Attendance Management System
June 19, 2026 – Present
Developed an MCP-based attendance system integrating PostgreSQL with AI agents for natural language-driven employee management. Built modular workflows for check-in/check-out and user creation using Python, SQL, and Claude Desktop.
View ProjectAI-Powered Choreography System
June 19, 2026 – Present
Developed a system to generate dance movements from music using Conditional GANs. Trained on FineDance dataset and visualized motion using SMPL-X and Pyrender.
View ProjectStable Diffusion XL - Theme Fine-Tuning using LoRA
June 19, 2026 – Present
Fine-tuned Stable Diffusion XL using custom visual datasets for style-specific image generation with LoRA-based optimization. Optimized training using mixed precision and gradient accumulation.
View ProjectGenerative AI Engineering and Fine-Tuning Transformers
IBM
June 1, 2026 – Present
Generative AI and LLMs: Architecture and Data Preparation
IBM
June 1, 2026 – Present
Big Data Analytics
Great Learning
June 1, 2026 – Present
Google Analytics Certification
Google Skillshop
June 1, 2026 – Present
Generative AI Model Development
IIT Delhi Alumni Program
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a strong interest in diverse AI applications, from NLP and computer vision to AI agents and generative art. This breadth of interest aligns well with an innovative and research-oriented culture. The personal projects demonstrate initiative and a passion for AI beyond academic requirements. However, the lack of team-based projects or explicit collaboration mentions makes it hard to fully assess cultural fit for highly collaborative environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical challenges independently. The internship experience suggests an understanding of real-world application and deployment considerations. However, without direct interview data, it's difficult to assess collaboration, problem-solving under pressure, or communication in a team setting.