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AI Engineer with less than a year in Python & 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
Proficient Software Developer, Al Engineer, and Data Science enthusiast with expertise in Python, FastAPI, Machine Learning, Al agents, and full-stack development. Skilled in building scalable Al-powered and data-driven solutions that drive automation, innovation, and business impact through strong problem-solving and analytical abilities.
Acropolis Institute Of Technology And Research
B. Tech
N/A – June 30, 2026
St. Norbert School, Indore
Intermediate (+2)
N/A – May 31, 2022
St. Joseph Convent School, Indore
Matriculation
N/A – May 31, 2020
MediGen AI, AITR
AI-POWERED PATIENT DISCHARGE SUMMARY GENERATOR
January 1, 2026 – February 1, 2026
India
IBM Data Science Professional Certificate
IBM Skills Network (IBM - Coursera)
June 1, 2026 – Present
Python Certificate of Accomplishment
HackerRank
January 1, 2026 – Present
SQL Certificate of Accomplishment
HackerRank
January 1, 2026 – Present
Certified AI Foundations Associate
Oracle Cloud Infrastructure
August 1, 2025 – Present
CodeChef Problem Solving Practice (500 Rating)
CodeChef
July 1, 2025 – Present
Data Visualization: Empowering Business with Effective Insights
Forage
April 1, 2025 – Present
Software Engineering
Forage
January 1, 2025 – Present
Python for Beginners: Learn Python Programming (Python 3)
Infosys
December 1, 2023 – Present
Cultural Fit Analysis
The candidate's involvement in diverse projects (healthcare, attendance, voice assistant) and co-curricular activities (graphic design) indicates a broad interest and adaptability. The focus on practical, impactful AI solutions aligns with a culture that values innovation and tangible results. However, the candidate's limited professional experience (one internship) means there is insufficient data to fully assess cultural fit for a senior role, particularly regarding leadership, mentorship, or navigating complex organizational dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify problems and develop practical AI solutions, suggesting strong problem-solving skills. The quantifiable impact of their projects (e.g., 65% reduction in manual effort, 50% increased efficiency) demonstrates a results-oriented approach. Participation in a graphic design team suggests potential for collaboration and creative thinking, though direct evidence of operational fit in a senior AI engineering role is limited due to the candidate's early career stage.