AI Engineer with less than a year in LLMs and RAG pipelines
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Assessing your cultural and operational fit
Enterprise-focused AI/ML Engineer experienced in designing robust Large Language Model (LLM) architectures and RAG pipelines. Expert in optimizing end-to-end data processing workflows and deploying high-performance production systems. Recognized for a first-principles approach to transforming complex technical challenges into scalable assets that maximize efficiency.
Vellore Institute of Technology (VIT)
Master of Computer Applications
August 1, 2025 – June 30, 2027
Aditya Degree College
Bachelor of Science (B.Sc.) · Artificial Intelligence and Robotics
August 1, 2021 – June 30, 2024
Bigdatamatica Solutions Pvt Ltd
AI/ML Engineer Intern
March 1, 2024 – June 1, 2024
India
InterviewSense AI
June 1, 2026 – Present
Engineered an automated study notes generator and career accelerator roadmap engine using LangChain and FastAPI, reducing document parsing latency by 25% through optimized text-splitting techniques. Built a semantic retrieval pipeline utilizing FAISS vector databases to index textbook curriculum and professional profiles, increasing personalized roadmap generation accuracy by 30%. Developed an interactive progress tracking module within the engine to monitor daily tasks and mark completed execution milestones, improving student routine consistency and performance metrics by 20%.
Loan Approval Prediction System
June 1, 2026 – Present
Built and benchmarked classification models with Scikit-learn (Random Forest and XGBoost) to assess credit risk, achieving a verified overall model accuracy of 92% on held-out test data. Engineered data-transformation pipelines with Pandas and NumPy, handling missing values and categorical encoding to cut data-processing runtime by 18% across the full training dataset. Performed exploratory data analysis using Matplotlib and Seaborn to identify high-risk credit segments, contributing to a 15% reduction in simulated portfolio default rates.
AI using Python
Coincent
November 1, 2022 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical applications of AI, including an EdTech platform and a financial prediction system, indicating a drive for impactful solutions. The academic background in AI and Robotics, coupled with an MCA, shows a strong commitment to the field. The internship at Bigdatamatica Solutions Pvt Ltd suggests exposure to an industry setting. The breadth of technical skills (Python, SQL, LLMs, RAG, Scikit-learn, LangChain, FastAPI, FAISS, Docker, Git, Azure) indicates a versatile and adaptable technologist. The target role of 'AI Engineer' aligns well with the candidate's demonstrated skills and project focus.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (reducing latency, increasing accuracy, mitigating hallucinations) and an outcome-oriented approach (quantified improvements). The internship experience suggests an ability to work within a professional setting and contribute to enterprise-grade solutions. However, without direct interview data, a comprehensive assessment of soft skills like teamwork, leadership, and adaptability is limited.