AI Engineer with less than a year in Generative AI systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML undergraduate with hands-on experience in building production-ready Generative AI systems, including Retrieval-Augmented Generation (RAG) pipelines and local LLM deployments. Skilled in Python, Deep Learning, and MLOps with a strong focus on designing low-latency, privacy-first AI solutions for real-world applications.
Mohan Babu University
B.Tech · Computer Science (AI & ML)
August 1, 2022 – June 30, 2026
RAG-Based Local AI Assistant Generative AI Transformers
June 1, 2026 – Present
Engineered a privacy-focused Retrieval-Augmented Generation (RAG) pipeline for intelligent document-based question answering. Developed an optimized semantic retrieval workflow using FAISS vector databases, reducing query latency to under 200 ms. Integrated a locally hosted Gemma 2B LLM through Ollama, enabling fully offline inference and secure AI processing. Implemented advanced document chunking and embedding optimization techniques, improving answer relevance and retrieval accuracy. Containerized the application using Docker for reproducible deployment and scalability.
View ProjectCredit Card Fraud Detection Dashboard
June 1, 2026 – Present
Built an interactive fraud detection dashboard using SQL and Python to analyze large-scale transaction datasets. Performed data cleaning, preprocessing, and exploratory data analysis to identify suspicious financial patterns and anomalies. Developed interactive visualizations and deployed a Streamlit-based dashboard for real-time monitoring and reporting.
View ProjectReal-World Machine Learning
L&T EduTech
June 1, 2026 – Present
Python (Basic) Certificate
HackerRank
June 1, 2026 – Present
Python Essentials 1
Cisco Networking Academy
June 1, 2026 – Present
SQL (Intermediate) Certificate
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and practical application in AI/ML, particularly in Generative AI and data analysis. The focus on real-world problems (RAG-based assistant, fraud detection) aligns well with an innovative and problem-solving culture. The breadth of skills (Python, SQL, NLP, Docker, ML frameworks) indicates a willingness to learn and adapt to various technical challenges. However, the lack of professional experience means cultural fit is primarily inferred from academic pursuits and project diversity.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions and optimize for performance (e.g., reducing query latency, inference latency). The focus on privacy-first AI solutions suggests a responsible approach to development. However, without direct interview data, soft skills like teamwork, problem-solving under pressure, and adaptability cannot be fully assessed.