ML Engineer with 1+ years in predictive modeling and LLM applications.
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Assessing your cultural and operational fit
Machine Learning Engineer with experience in building end-to-end ML systems, including predictive modeling, computer vision pipelines, and LLM-based applications. Skilled in data preprocessing, model optimization, and deploying scalable ML solutions using Python and modern ML frameworks.
Lovely Professional University
Computer Science and Engineering · Computer Science and Engineering
N/A – June 30, 2025
AllSoft Solutions Ltd. (An IBM Partner)
Machine Learning Intern
August 1, 2023 – July 31, 2024
Mohali, Punjab, India
LPU Innovation Studio
R&D Intern
July 1, 2023 – August 31, 2023
Jalandhar, Punjab, India
RAG Optimizer
June 24, 2026 – April 1, 2026
Implemented an evaluation framework using RAGAS to measure faithfulness and answer relevance, enabling iterative improvements that boosted query response accuracy by 25%. Developed a RAG evaluation framework using RAGAS to measure faithfulness and answer relevance Designed reward-based optimization strategy to improve retrieval quality Achieved ~25% improvement in response accuracy through iterative tuning
Persona Adaptive Customer Support Agent
June 24, 2026 – October 1, 2025
Engineered an AI-driven support agent that dynamically adjusts conversational tone and resolution strategies based on real-time customer persona analysis and historical interaction data. Built a persona-adaptive support system using LLMs and RAG Implemented NLP-based persona classification to adjust response tone dynamically Integrated contextual memory and prompt engineering for improved response relevance Designed backend architecture supporting real-time interaction
Neural Networks and Deep Learning
DeepLearning.AI
January 1, 2026 – Present
Supervised Machine Learning: Regression and Classification
DeepLearning.AI
October 1, 2025 – Present
Foundations of Data Science
April 1, 2025 – Present
Natural Language Processing with Classification and Vector Spaces
DeepLearning.AI
February 1, 2025 – Present
Begin with Python
Programming Pathshala
June 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying new technologies, particularly in the rapidly evolving LLM space. The mix of academic internships and personal projects shows initiative. The target role of ML Engineer aligns well with the candidate's stated skills and project experience, especially in predictive modeling and LLM applications. The breadth of skills across traditional ML, deep learning, and NLP/LLM indicates adaptability and a willingness to explore diverse areas within ML.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems, apply analytical thinking, and contribute to cross-functional teams (LPU Innovation Studio). The focus on optimizing models and designing complete ML pipelines suggests a structured approach to problem-solving. However, without direct assessment data on communication, stress handling, or team collaboration, a comprehensive evaluation of soft skills and operational fit is limited.