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AI Engineer with 2+ years in Deep Learning, Python & Cloud Platforms
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic AI Engineer with over 2.4 years of experience (including 3-month internship) in designing, developing, and deploying AI-powered products. Demonstrated proficiency in Python, deep learning frameworks, and cloud platforms, seeking to leverage skills in innovative projects within machine learning and artificial intelligence domains.
Hyderabad Institute of Technology & Management, Hyderabad
Bachelor of Technology / Bachelor of Engineering (B.Tech/B.E.) · Computer Science and Engineering (CSE)
August 1, 2022 – Present
Xpeer.ai (by Codetest Pvt Ltd)
AI Engineer (Product Engineer)
December 1, 2023 – Present
India
SQL Generation Assistant (POC used Gemini)
May 22, 2026 – June 1, 2026
Developed a tool that converts natural language into BigQuery SQL for data management. Enhanced data accessibility and usability within the GCP environment.
Automation Runtime Estimation System (Machine Learning)
April 1, 2026 – June 1, 2026
Built an ML-powered system to predict automation suite execution time using historical execution data, suite metadata, browser configurations, and execution settings. Improved planning and resource utilization by providing runtime estimates before execution and deployed.
AI-Based Visual Comparison System
January 1, 2026 – June 1, 2026
Implemented UI visual comparison using VGG16 with transfer learning and fine-tuning. Achieved accurate detection of meaningful UI changes while ignoring acceptable variations using annotations.
AI Code Review Tool(RAG)
December 1, 2025 – June 1, 2026
Built an LLM-powered system for automated bug detection, code quality analysis, and recommendations. Enhanced the efficiency of code reviews by utilizing AI(RAG) to streamline processes.
AI Unit Testing Automation(Agentic AI using LangGraph)
December 1, 2025 – June 1, 2026
Developed an Agentic AI system using LangGraph for automated unit test generation. Improved test coverage and software reliability through autonomous code analysis, test creation, and validation.
Data Science Professional Certificate
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and practical application in various AI domains, including LLMs, Computer Vision, and Machine Learning. This diversity of projects, coupled with experience at an AI-focused company, suggests a good cultural fit for an AI Engineer role that values innovation and continuous learning. The candidate's education in Computer Science and Engineering further supports a foundational alignment with technical roles.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to translate complex AI concepts into practical applications. The focus on improving efficiency (code reviews, unit testing, runtime estimation) suggests a results-oriented approach. However, without direct assessment data, specific soft skills like teamwork, leadership, or adaptability cannot be definitively evaluated.