Help & Supportcareers@gravityer.com
AI Engineer with 1+ years in Machine Learning & Full-Stack Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Master of Computer Applications graduate and Python developer specializing in machine learning, NLP, and full-stack web development. Skilled in building and deploying end-to-end ML applications with Flask, Scikit-learn, and Pandas covering data preprocessing, model development, and production deployment. AWS Certified Cloud Practitioner with hands-on exposure to CloudFormation and Lambda. Seeking an entry-level software engineering, backend, or Al/ML role focused on building reliable, data-driven systems.
SIES College of Management Studies
Master of Computer Applications (M.C.A.) · Machine Learning, NLP, DBMS, Data Structures & Algorithms, Web Development
September 1, 2022 – June 1, 2024
Guru Nanak Khalsa College of Arts, Science & Commerce
B.Sc. in Information Technology · Information Technology
June 1, 2019 – June 1, 2022
Mumbai House Rent Predictor
April 1, 2025 – June 1, 2026
Built and deployed a full-stack web app that predicts monthly rent across Mumbai localities (Powai, Bhandup, Vikhroli) using a Random Forest Regressor trained on location, BHK, and furnishing features. Engineered the end-to-end data pipeline - cleaning, categorical encoding, and feature preparation and tuned the model to improve prediction accuracy. Designed a responsive Jinja2 interface and shipped to production on PythonAnywhere for live public use.
Water Intake Predictor
January 1, 2025 – June 1, 2026
Developed and deployed an ML web app that recommends personalized daily water intake using a Gaussian Naive Bayes classifier on user weight, gender, and country inputs. Implemented input handling and real-time inference to deliver instant recommendations through a clean, responsive UI.
Patient Appointment Booking System
April 1, 2023 – August 1, 2023
Built a full-stack appointment system enabling patients to browse doctors by specialty and book available time slots online. Designed a normalized MySQL schema and server-side PHP logic to manage bookings and prevent slot double-booking. Added form validation and dynamic, data-driven pages for a smooth end-to-end booking flow.
Online Voting System
January 1, 2023 – March 1, 2023
Developed a secure desktop voting application with a Python Tkinter GUI and MySQL backend to replace manual vote counting. Used Pandas to aggregate and tabulate results in real time for fast, transparent reporting.
AWS Certified Cloud Practitioner
Amazon Web Services
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in applying machine learning and full-stack development to solve practical problems, which aligns with an AI Engineer role. The diversity of projects (rent prediction, water intake, appointment system, voting system) shows a broad interest in different application domains. However, all projects are academic, which limits the assessment of cultural fit within a professional team setting, experience with agile methodologies, or handling complex stakeholder requirements. The candidate is a recent graduate, so the breadth of skills is good for an entry-level role, but depth in specific areas for a senior role is lacking.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from data engineering to UI development and deployment. The focus on building functional applications suggests a results-oriented approach. However, without specific behavioral or team-based project details, it's difficult to assess collaboration or stress handling. The academic nature of all projects means real-world operational fit and experience with production-grade systems and team environments are unproven.