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AI Engineer with less than a year in Data Science & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated tech enthusiast with strong skills in programming and development tools, seeking an opportunity to apply my knowledge and grow in a professional environment.
Malla Reddy Engineering College for Women, Hyderabad
B.Tech · Computer Science (AI & ML)
August 1, 2022 – June 30, 2026
TTWURJCJR College, Mahbubnagar
Intermediate
June 1, 2020 – May 31, 2022
Govt. Girls High School, Mahbubnagar
SSC
June 1, 2019 – May 31, 2020
AICTE – Edunet Foundation (IBM)
Intern
June 1, 2025 – July 1, 2025
India
Infosys Springboard
Internship 5.0
December 1, 2024 – February 1, 2025
India
UPI Fraud Detection System
January 1, 2025 – January 1, 2025
Developed an ML-based system to detect fraudulent UPI transactions. Handled class imbalance and optimized performance, achieving 93% accuracy. Implemented batch and real-time predictions using Streamlit.
Image Compression Using Retinex
January 1, 2023 – January 1, 2023
Designed a lossless image compression system using Retinex theory and LZW encoding. Improved storage efficiency by 40% without compromising image quality.
Programming Essentials in Python (PCAP)
Unknown
June 1, 2026 – Present
ISRO certification
ISRO
June 1, 2026 – Present
Cambridge English Empower Level C1 Certification
Cambridge English
June 1, 2026 – Present
Certified Generative AI Professional
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a focus on AI/ML applications, which aligns well with an AI Engineer role. The diversity of projects (fraud detection, credit underwriting, image compression, salary prediction) indicates a broad interest within the AI/ML domain. However, the experience is primarily academic and internship-based, which might require more structured mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on practical applications of AI/ML, suggesting a results-oriented approach. The academic projects and internships show initiative and a willingness to apply learned concepts. However, without direct behavioral assessment, specific soft skills like teamwork, problem-solving under pressure, or adaptability cannot be fully evaluated.