AI Engineer with less than a year in Machine Learning, Data Science, and Full-Stack Development.
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Assessing your cultural and operational fit
Highly motivated and results-oriented professional with foundational experience in AI/ML, Data Science, and Software Engineering. Skilled in developing web applications, AI/ML pipelines for data extraction and forecasting, and creating Power BI dashboards for actionable insights. Eager to leverage strong technical skills in Python, Java, and data manipulation to contribute to innovative projects and drive data-driven decision-making.
GSFC University
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Tata Consultancy Services (TCS)
Software Engineer Intern
February 1, 2026 – May 1, 2026
Gandhinagar, Gujarat, India
NITI.AI
AI/ML Intern
December 1, 2025 – January 1, 2026
Ahmedabad, Gujarat, India
PGP GLASS PVT. LTD.
Data Analytics & Front-end Intern
June 1, 2024 – July 1, 2025
Vadodara, Gujarat, India
Air Travel Ticket Booking Website
June 8, 2026 – Present
Developed a full-stack flight booking app using PHP and MySQL with a responsive Tailwind/Bootstrap UI and secure authentication.
View ProjectAI-Based Soil Analysis and Crop Recommendation and Yield Prediction System
June 8, 2026 – Present
Built an Agri-Tech Flutter app using CNN, Random Forest, and Flask APIs for real-time soil, crop and yield analysis.
View ProjectAI-Powered Mock Interview System with Candidate Scoring and Report Generation
June 8, 2026 – Present
Developed BERT-based AI to automate interview evaluations and semantic answer assessment.
View ProjectResearch Publication
CVS3 International Conference
July 1, 2026 – Present
GATE CS QUALIFIED
Unknown
January 1, 2026 – Present
2nd Prize, KLEOS 3.0 National Hackathon
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including Agri-Tech, interview systems, and web development, shows a broad interest and adaptability. Their internships at TCS, NITI.AI, and PGP GLASS PVT. LTD. expose them to different industry contexts. The target role of 'AI Engineer' aligns well with their stated skills and project focus on AI/ML. The breadth of technologies listed (Python, Java, C++, JavaScript, various ML frameworks, SQL, Power BI, Docker) suggests a willingness to learn and apply different tools, which is positive for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates initiative through personal projects and hackathon participation. Their experience in leading student teams suggests leadership potential and collaboration skills. The descriptions of their internship roles indicate an ability to work within structured environments and contribute to real-world projects, aligning with operational fit. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.