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AI Engineer with less than a year in Machine Learning & Generative AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Engineering graduate with hands-on experience in Python, SQL, Machine Learning, and Generative AI. Skilled in developing AI-powered applications, predictive analytics solutions, and NL2SQL systems using modern AI technologies. Seeking an opportunity to contribute strong analytical, problem-solving, and AI engineering skills to build innovative and scalable business solutions.
Savitribai Phule Pune University
Bachelor of Engineering · Computer Engineering with Honors in Data Science
August 1, 2021 – June 30, 2025
Codenera Pvt Ltd
GEN AI Trainee
July 1, 2025 – January 1, 2026
India
End-to-End ML Pipeline with MLOps
June 1, 2026 – Present
Built an end-to-end ML pipeline with data preprocessing, model training, MLflow tracking, FastAPI deployment, and Docker containerization. Automated CI/CD workflows using GitHub Actions for scalable and reproducible deployment.
View ProjectNL2SQL Agentic Data Assistant
June 1, 2026 – Present
Developed an AI-based system that converts natural language queries into executable SQL statements. Improved query automation and reduced manual SQL effort using prompt engineering and API integration.
View ProjectCustomer Behavior & Churn Prediction
Unknown
June 1, 2026 – Present
Sales Forecasting Dashboard & Financial Analytics
Unknown
June 1, 2026 – Present
Proctor Vision Surveillance
IRJMETS
January 1, 2025 – Present
Network Security and Cryptography
International Journal of Telecommunication and Emerging Technologies
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects and certifications show a strong interest in AI, ML, and data science, which aligns well with an AI Engineer role. Participation in virtual internships, research, and extracurricular activities demonstrates a proactive learning attitude and engagement beyond academics. However, the experience is primarily academic and personal projects, with limited exposure to diverse corporate environments, which might require some adaptation to established team dynamics and processes.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, teamwork, analytical thinking, adaptability, and time management as soft skills. While these are crucial, there is no assessment data to validate their proficiency. The project descriptions indicate an ability to work on complex technical tasks independently, suggesting good problem-solving and analytical thinking. However, without direct assessment, operational fit regarding collaboration and communication in a team setting remains unverified.