PULAPARTHI ARUN TEJA
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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 Engineer with less than a year in AI/ML, Cloud & Data Engineering
B.Tech graduate in Artificial Intelligence & Data Science with hands-on experience across full-stack development, AI/ML, cloud infrastructure, and data engineering. Recently completed a Data Specialization internship at Cognizant, working with databases, data warehousing, ETL pipelines, Delphix, and Informatica ILM. Skilled in building scalable systems using Node.js, React, PostgreSQL, and AWS. Strong foundation in OOP, DSA, and software engineering best practices.
S.R.K.R. Engineering College
Bachelor of Technology · Artificial Intelligence and Data Science
November 1, 2022 – April 1, 2026
Sri Chaitanya Junior College
Board of Intermediate Education
June 1, 2020 – March 1, 2022
Sri Chaitanya School
Board of Secondary Education
June 1, 2019 – March 1, 2020
Cognizant
Data Specialization Intern (Cognizant GenC Program)
March 1, 2026 – June 1, 2026
Chennai, Tamil Nadu, India
Banking Web Application
January 1, 2026 – March 1, 2026
Designed and developed a full-featured banking platform with user authentication, account management, deposits/withdrawals, and fund transfers. Implemented transaction history, balance tracking, and an admin dashboard for account oversight and management. Containerized the entire application using Docker for streamlined development and deployment workflows. Built with Express.js backend, React frontend, and PostgreSQL for reliable and scalable data persistence.
Rooftop Detection from Satellite Imagery for Solar Panels
January 1, 2025 – July 1, 2025
Developed an AI-driven computer vision system to detect building rooftops from satellite TIFF images. Implemented deep learning image segmentation using CNN architectures for pixel-level rooftop classification. Calculated usable rooftop area for solar panel installation using pixel-to-real-world area conversion techniques. Used Python, TensorFlow/PyTorch, OpenCV, NumPy, and geospatial libraries for preprocessing, training, and evaluation.
Cultural Fit Analysis
The candidate's academic background in AI and Data Science, coupled with projects in computer vision and a full-stack application, demonstrates a diverse skill set. The internship in Data Specialization at Cognizant shows exposure to enterprise data environments. While the target role is 'AI Engineer', the candidate's experience spans both AI/ML and general software development, indicating adaptability. However, the experience level is 0, suggesting a junior profile, which might require more mentorship in a senior-level AI engineering role. The projects are academic, and the internship is short-term, limiting the assessment of long-term commitment and collaboration in a professional setting.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration with cross-functional teams during their internship, suggesting an ability to work in a team environment. The project descriptions are clear, implying good communication skills in a technical context. However, without specific behavioral assessment data, a deeper evaluation of soft skills and operational fit is limited.