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Aspiring ML Engineer | AI & Data Science Graduate
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Memlore
April 18, 2026 – Present
Multi-user AI memory system with RAG, hybrid LLM reasoning, and evolving knowledge.
View ProjectML-Drift-Monitor
March 6, 2026 – Present
Machine Learning Drift Monitoring framework that detects data drift, prediction drift, and concept drift using KS Test, PSI, and model performance monitoring with a Streamlit dashboard.
View ProjectSKYCHEX
November 5, 2024 – November 7, 2024
SKYCHEX is a website created to showcase my frontend development skills. It features the main page, login page, and signup page, highlighting my ability to design and implement responsive web pages.
View ProjectCinemaSeek
October 14, 2024 – October 17, 2024
The Movie Search Application is a React-based web app that enables users to search for movie details and save their favorites. With a responsive design and smooth loading animations, it provides an intuitive and engaging user experience.
View ProjectPortfolio
May 30, 2024 – Present
My portfolio, built with React, HTML, CSS, and JavaScript, showcases my projects and skills through a responsive design, featuring an AI-powered chatbot trained on a custom dataset using a fine-tuned T5 model.
View ProjectCMRITHYD_CLONE
March 3, 2024 – June 2, 2024
The College Website Frontend Clone project faithfully replicates CMR Institute of Technology, Hyderabad's website using HTML and CSS, showcasing modern web design techniques. Explore this frontend development showcase to experience the essence of CMR Institute of Technology, Hyderabad's online presence firsthand.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. However, the projects are predominantly frontend web development or basic ML scripts, which may not fully align with the depth and scale expected for a senior ML Infrastructure Engineer role. The lack of team-based projects or contributions to larger systems makes it difficult to assess collaboration and integration skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.