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Python Engineer with less than a year in FastAPI & AI/ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and results-driven Python Developer with experience building REST APIs using FastAPI and strong expertise in debugging real-time applications. Proficient in Python, SQL, and Git, with hands-on experience in Agile development. Demonstrated expertise in solving complex problems and developing scalable, efficient software solutions.
Khammam
Bachelor of Technology (B.Tech) · Computer Science and Engineering (AI & ML)
August 1, 2021 – June 30, 2025
Bilvantis Technologies
Software Development Intern
July 1, 2025 – March 1, 2026
Hyderābād, Telangana, India
TIGGO – AI-Based Urban Development Platform
August 1, 2025 – March 1, 2026
Developed features for an AI-based platform using government and private data sources. Enhanced User Dashboard, Project Discovery, and Collaboration modules. Assisted in RFP creation through site analysis, demographic research, and budget planning. Performed feature testing and debugging to improve application performance and reliability. Supported Agile development activities and feature delivery across project modules.
Displaying Emojis Based on Facial Expressions
January 1, 2024 – April 1, 2024
Developed a real-time facial expression recognition system using Python and OpenCV. Mapped facial expressions to corresponding emojis for intuitive user interaction. Integrated deep learning models to improve emotion detection accuracy. Achieved approximately 85% accuracy in facial expression recognition.
Great Learning Test Engineer (Finishing School for Employability)
Infosys
June 1, 2026 – Present
HTML Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects, particularly the AI-based urban development platform and facial expression recognition system, show an interest in applying technology to real-world problems and innovative solutions. The academic background in AI & ML aligns well with forward-thinking, technology-driven cultures. The internship experience suggests an ability to work within team structures and contribute to feature delivery, which is positive for cultural integration.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate in Agile environments and perform debugging, indicating a structured approach to development. Project descriptions suggest problem-solving skills and a focus on improving application performance and reliability. However, the experience is primarily academic and internship-based, which may require more guidance in a senior operational role.