AI Engineer with less than a year in programming and problem-solving skills
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 and detail-oriented Software Developer with a strong foundation in programming, data structures, and algorithms. Proficient in programming languages Java, Python, C++ and experienced in developing web. Passionate about writing clean, efficient, and scalable code. Quick learner with strong problem-solving skills, eager to apply knowledge to real-world software development challenges. Adept at collaborating in team environments and continuously enhancing technical skills to stay updated with the latest industry trends.
DRK Institute of Science and Technology, Hyderabad
B.Tech · Computer Science And Engineering (Data science)
August 1, 2021 – June 30, 2025
Sri Chaitanya Junior college, Hyderabad
Intermediate · MPC
June 1, 2019 – May 31, 2021
Vasista Vidyalaya High School, Sanath Nagar
High School
N/A – May 31, 2019
Predicting Employee Attrition and Explaining its Determinants
June 23, 2026 – Present
Developed a machine learning-based project to predict employee attrition by analyzing key factors such as job satisfaction, salary, and work-life balance, and provided actionable insights to help organizations improve employee retention and HR decision-making.
Detecting Data Leaks using SQL Injection
June 23, 2026 – Present
Detect un parameterized queries where user inputs directly modify the SQL query,increasing the risk of leaks.Identify vulnerable input fields (e.g.,search,login) that may be exploited for SQL injection. Implement strict input validation to prevent malicious SQL code from being executed
Bootcamp
Unknown
January 1, 2023 – Present
Hackathon
Unknown
January 1, 2023 – Present
Workshop
Zignasa 2k23 Hackathon
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's participation in hackathons and workshops, coupled with stated leadership and communication skills, suggests an eagerness to learn and collaborate. The academic projects demonstrate an interest in problem-solving and applying technical skills, aligning with a culture of innovation and continuous improvement. However, the lack of professional experience means cultural fit is largely inferred from academic and extracurricular activities.
Soft Skills & Operational Fit
The candidate highlights communication and leadership skills, along with a proactive approach to learning through hackathons and workshops. These indicate a potential for good team collaboration and adaptability, which are valuable for operational fit in dynamic AI engineering environments.