AI Engineer with 2+ years in Machine Learning, Computer Vision & LLM Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven AI / Machine Learning Developer with a proven track record of architecting and shipping production-grade intelligent systems. Proficient in developing end-to-end ML solutions covering healthcare classification, CRM intelligence, retail cohorts, and computer vision. Expert in bridging research algorithms with practical application engineering, utilizing Python, Flask, Scikit-learn, TensorFlow, and modern LLM APIs (Groq/OpenAI) to build high-performance products that solve real-world problems.
Sardar Vallabhbhai Global University - Shri Chimanbhai Patel Post Graduate Institute of Computer Applications (SVGUPGCA)
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
Gujarat University
Bachelor of Computer Applications (BCA)
August 1, 2021 – June 30, 2024
Zidio Development
Data Science Intern
March 1, 2026 – Present
Bengaluru, Karnataka, India
Mehta Softech LLP
AI/ML Engineer
December 1, 2025 – April 1, 2026
Ahmedabad, Gujarat, India
Self-Driven Projects / GitHub
Machine Learning Practitioner
January 1, 2023 – December 31, 2024
India
Presentify - AI Attendance
June 1, 2026 – Present
Built and shipped a production-grade, AI-powered attendance tracking application. Designed a computer vision face-recognition pipeline to process a single classroom photo, identify multiple faces, and mark attendance simultaneously, replacing manual rolls. Released successfully on Apple App Store & Google Play Store.
CRM AI Email Assistant
June 1, 2026 – Present
Created an automated CRM email responder. Integrates Groq LLM API (llama-3.3-70b-versatile) to dynamically draft replies, track conversation contexts, and suggest custom tones (professional, urgent, enthusiastic). Supports customer contact management within a lightweight Flask framework.
Healthcare AI Platform
June 1, 2026 – Present
Engineered a multi-disease prediction clinical dashboard. Trained Scikit-Learn Random Forest classifiers on structured health parameters to screen diagnostic risks, achieving 94.8% recall and 93.5% F1 score on critical indices. Integrated with interactive patient charts.
RetailPulse - Customer Analytics
June 1, 2026 – Present
Architected a retail cohort platform. Computes RFM segmentation (VIP, Loyal, At-Risk, Churned) to formulate targeting cohorts. Employs ARIMA statistical modeling to generate monthly demand forecasts with a MAPE (Mean Absolute Percentage Error) of 4.8%.
CRM Lead Scoring System
June 1, 2026 – Present
Designed a machine learning scoring pipeline to rank sales leads based on purchase intent. Configured XGBoost classifiers in Jupyter Notebooks to process demo requests, page views, and time-on-site behaviors. Outlined attribution weights to explain prediction indices.
MediPure Health Portal
June 1, 2026 – Present
Developed a frontend web portal designed for clinic management and patient records. Focuses on strict layout accessibility, clean web workflows, and local caching of patient schedules and prescriptions.
Shop Inventory Management
June 1, 2026 – Present
Created a CLI system helper written in Python and SQL. Automates transaction logging, stock alerts, low-inventory notifications, and monthly invoice generation to support small-scale retail operations.
Machine Learning Specialization
Coursera
June 1, 2026 – Present
Generative AI with LLMs
Coursera
June 1, 2026 – Present
Python for Data Science
IBM / Coursera
June 1, 2026 – Present
Deep Learning Fundamentals
Online
June 1, 2026 – Present
SQL for Data Analysis
Online
June 1, 2026 – Present
Flask Web Development
Self-Paced
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, including personal projects and an internship, indicates a proactive and self-driven individual. Their interest in Generative AI, Predictive Analytics, and Full-Stack AI Application Design aligns well with an AI Engineer role. The breadth of skills and continuous learning through certifications suggest a strong cultural fit for an innovative and growth-oriented environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, analytical thinking, and adaptability through their diverse project portfolio. Their experience in collaborating with cross-functional teams and automating workflows suggests a good operational fit. Project ownership is evident in the successful deployment of applications.