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AI Engineer with 1+ years in RAG, LLM Integration, & Data Analytics
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 Engineer and Data Analyst with a Bachelor's in Computer Science Engineering and hands-on expertise in RAG pipelines, NLP, LLM integration, and MLOps. Proficient in C#, .NET, Node.js, and React, with a proven track record building end-to-end ML pipelines and production-ready SaaS solutions. Skilled in prompt engineering, semantic search, and embedding-based retrieval systems. Strong communicator with cross-functional collaboration experience across global teams
Jyothi Engineering College
Bachelor of Technology · Computer Science Engineering
August 1, 2021 – June 30, 2025
Techolas Technologies
DataAnalyst&AI/MLIntern
June 1, 2025 – Present
Kozhikode, Kerala, India
Data Science Interview Assistant
June 1, 2026 – Present
AI Architecture: Built a Retrieval-Augmented Generation (RAG) pipeline to deliver context-aware answers to Data Science interview questions using semantic search and LLM reasoning. Product-First Mindset: Designed an end-to-end conversational interface with document upload, AI chat, and analytics modules for structured interview preparation. Data Pipeline: Engineered vector embedding workflows to index and retrieve domain-specific DS content with high relevance accuracy.
Air Quality Prediction System
June 1, 2026 – Present
Engineering Rigor: Achieved 97.10% accuracy using SMOTE and GridSearchCV for model optimization. Data Pipeline: Built a full-stack ML pipeline to classify air quality levels from high-dimensional demographic data.
Platform-Based Feature Performance Analysis
June 1, 2026 – Present
Product Value: Designed star-schema data models to track user engagement metrics and adoption rates for enterprise
Oracle 2025 Generative AI Professional (OCP)
Oracle
June 1, 2026 – Present
Microsoft Azure Cloud Computing Fundamentals (Certified)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of interest in AI/ML, data analysis, and even some web development, which could indicate adaptability. The 'Data Science Interview Assistant' project shows initiative in building a practical tool. However, the experience level is very junior (internship starting in June 2025, while still pursuing a bachelor's degree), which might not align with a senior AI Engineer role requiring extensive industry experience and independent decision-making. The certifications and project diversity suggest a willingness to learn and apply new technologies.
Soft Skills & Operational Fit
The candidate's resume highlights a 'Product-First Mindset' and 'Engineering Rigor' in project descriptions, suggesting an understanding of practical application and quality. The stated fluency in multiple languages could be an asset for global team synergy. However, the internship experience is very recent and limited in scope, making it difficult to fully assess operational fit and collaboration skills beyond self-reported statements.