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AI Engineer with less than a year in Machine Learning & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
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 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 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 ProjectGenerative AI and LLMs: Architecture and Data Preparation
IBM
June 1, 2026 – Present
Generative AI Engineering and Fine-Tuning Transformers
IBM
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
Big Data Analytics
Great Learning
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.