Dev Vyawahare

ML Infrastructure Engineer

https://www.opentalent.in/dev-vyawahare

Key Strengths

Demonstrated interest and foundational knowledge in Machine Learning and AI through academic projects ('Facial recognition attendance system', 'Python AI tutor') and a Data Science internship.
Strong academic background with a B.Tech in Computer Science & Engineering and solid understanding of Core CS fundamentals (Data Structures, OOP, DBMS, OS, Computer Networks).
Proficiency in Python and Java, essential languages for ML and infrastructure roles.
Good communication skills as indicated by the English test score (78%).
Experience with GitHub, indicating familiarity with version control, which is crucial for collaborative engineering.

Skill Analysis

MERN Stack Development

★★★★★

70%

Achieved a solid understanding of fundamental MERN stack components, demonstrating proficiency in both front-end (React, CSS/Sass, JavaScript) and back-end (Node.js, MongoDB/NoSQL) technologies, scoring 70% on the assessment.

MongoDBSasscssjsjavascriptNoSQLreactnode.jsFrontend DevelopmentBackend DevelopmentFull-stack Development

Cultural & Operational Fit

Cultural Fit Analysis

The very low psychometric test score (30.8%) raises significant concerns regarding cultural fit, particularly in areas related to logical reasoning, work attitude, stress handling, and team collaboration. These are critical components for successful integration into a professional team environment. Further assessment would be required to understand the root causes of this low score and its implications for team dynamics and workplace adaptability.

Soft Skills & Operational Fit

The psychometric test score of 30.8% is significantly low, indicating potential challenges in logical reasoning, work attitude, stress handling, and team collaboration. This contradicts the self-reported soft skills and internship feedback on the resume, suggesting a need for further validation or development in these areas. The candidate's leadership activities (Head Boy) and internship feedback ('Demonstrated strong performance, dedication, and professional work ethic') present a different picture, highlighting a discrepancy that needs to be explored.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

I am a Computer Science undergraduate with hands on experience in data analysis, machine learning, and problem-solving. In 2025, I completed a Data Analyst internship at XALT Analytics Pvt. Ltd., where I worked with large datasets, performed data preprocessing, and built machine learning models to extract meaningful insights. Alongside this, I have consistently practiced Data Structures and Algorithms using Java on platforms like LeetCode and GeeksforGeeks, strengthening my problem-solving and coding skills. I have also developed impactful projects, including an AI-based Python assistant and a facial recognition attendance system, demonstrating my ability to apply theoretical knowledge to real world applications.