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AI Engineer with less than a year in RAG, LLMs & PyTorch.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Curious individual with interest in solving coding problems and learning through practice. Actively enhance problem-solving skills by working on challenges from platforms like LeetCode and HackerRank. Value punctuality, trustworthiness, and contributing effectively to collaborative environments.
Jaipur Engineering College and Research Centre
B. Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Spark Eighteen Limited
Jr. Data Scientist
September 1, 2025 – Present
Jaipur, Rajasthan, India
COMPUCOM Software Limited
Data Science Intern
July 1, 2024 – August 31, 2024
Jaipur, Rajasthan, India
Text Summarization with BART
June 24, 2026 – Present
• Fine-tuned BART on 6,000+ articles using LoRA adapters for parameter-efficient training, achieving a BERTScore F1 of 0.91. • Built an end-to-end summarization pipeline with Hugging Face Transformers covering preprocessing, mixed-precision training, and best-checkpoint selection. • Designed an LLM-as-a-Judge evaluation framework using GPT-4.1 to score summaries on correctness, completeness, and conciseness (7.58/10); iterated on judge prompts to stabilize scoring. • Deployed the model to Hugging Face Hub for reusable, API-ready integration into applications.
AI Tutor - Intelligent Research & Learning Assistant
June 24, 2026 – Present
• Built an AI-powered tutor that generates structured, source-verified educational content using LLMs. • Designed ReAct-style agentic research workflows with HyDE query expansion for deep, iterative research. • Cut hallucinations through evidence-based generation and reviewer feedback loops, acting as output safety guardrails for generated content. • Added an AI Teacher module to deliver content in a goal-driven sequence and prevent learner distraction.
Python Certification
PwC
January 1, 2025 – Present
Supervised Machine Learning
DeepLearning.ai
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects showcase a strong interest in cutting-edge AI applications, aligning well with an AI Engineer role. The diversity of projects (text summarization, AI tutor, RAG system) indicates a broad interest and adaptability. The academic background in AI & Data Science further reinforces this fit. However, the experience level is entry-level, which might require mentorship within a senior role.
Soft Skills & Operational Fit
The candidate's summary highlights curiosity, problem-solving skills, and a value for punctuality, trustworthiness, and collaborative contributions. These traits suggest a good operational fit for a team-oriented, innovative environment. The project descriptions demonstrate an ability to work independently on complex tasks and iterate on solutions.