Jeevan Gowda Hemanth Kumar

Aspiring Product Manager & Software Engineer

Experience

Associate Product Manager

Klimb.io | May 2022 - November 2022

  • Revamped the dashboard and settings interface, resulting in a 25% decrease in user inquiries about platform navigation; streamlined user engagement processes, which improved response time by 15% across support teams.
  • Executed daily monitoring of website performance metrics, analyzing error logs and crash reports, which improved response times to critical issues by 40%, contributing to a more stable recruitment management system.
  • Conducted a weekly review of development team tasks, optimizing workflow and reallocating resources to high-priority items; this resulted in a 15% increase in task completion rates across the board.

Associate Product Manager Intern

Klimb.io | April 2022 - May 2022

  • Led effective daily check-ins with developers to assess ongoing tasks and roadblocks, fostering a collaborative environment that empowered the team to resolve issues quickly and improve project momentum.
  • Implemented structured communication protocols during daily calls, contributing to a cohesive team environment; established regular updates to ensure all development activities are clearly tracked and reported.

Machine Learning Intern

Celestial V Solutions | December 2021 - January 2022

  • Developed a big data visualization system, improving decision-making efficiency by 15%.

Featured Projects

Visionary Mate

AI-Powered Accessibility Assistance & Multimodal Interaction Platform Platform

  • Engineered an integrated platform combining Visionary for AI-powered navigation and personal assistance and Multimodal Mate for advanced media processing, enhancing accessibility and engagement by 40%.
  • Developed Visionary’s voice-only navigation with Mapbox API and Google Cloud Text-to-Speech, providing real-time GPS guidance and AI-driven image analysis, increasing user interaction efficiency by 30%.
  • Built a Retrieval-Augmented Generation (RAG) pipeline for Multimodal Mate using HuggingFace and Llama-Index, achieving 95% accuracy in document-based responses and enabling efficient text and multimedia analysis with advanced OCR.
Python
FastAPI
HuggingFace
Llama-Index
Tailwind CSS
JavaScript

VizAI

AI-Powered Data Visualization and Insight Generation Platform

  • Developed a web application enabling users to upload datasets, generate AI-driven insights, and create visualizations, enhancing data analysis efficiency.
  • Implemented a FastAPI backend to handle user authentication, dataset management, and integration with AI services for insight generation.
  • Built a React-based frontend providing an intuitive interface for dataset uploads, visualization creation, and display of AI-generated insights.
  • Integrated Google Generative AI to analyze datasets and produce actionable insights, improving decision-making processes.
  • Utilized Redis for caching datasets and visualizations, enhancing performance and scalability by reducing database load and retrieval times.
Python
FastAPI
React
Google Generative AI
Redis

Resume Analyzer & Job Matcher

AI-Powered Resume Analyzer & Job Description Matching Platform

  • Led the full-stack development of an AI-powered resume analyzer and job matcher utilizing FastAPI, MongoDB, and Google Gemini API, improving resume parsing accuracy by 30%.
  • Built a responsive frontend using Svelte and integrated backend services using Docker for consistent environment deployment, enhancing system scalability and reducing deployment time by 40%.
  • Developed a secure, containerized architecture handling over 1000 concurrent requests with optimized API performance, streamlining resume and job data processing for faster matching results.
Python
FastAPI
MongoDB
Svelte
Docker
Google Gemini API

Movies Recommendation System

An Movies Recommender Platform with 10,000 movies

  • Developed a Movie Recommender System, processing a combined dataset of over 10,000 movie entries.
  • Applied machine learning techniques for collaborative filtering, leveraging a similarity matrix computed from a dataset of 5,000 movies to personalize user recommendations.
  • Designed and deployed a Streamlit web application, integrating real-time data fetching from TMDB API to display movie posters, enhancing user experience through interactive elements.
Python
Streamlit

Movie Rating Service

A system where users can rate movies fetched from TMDB, with separate roles for users and admins for enhanced control and management.

  • User Authentication & Role Management: JWT-based registration and login with role-based access for users and admins.
  • Movie Management with TMDB: Fetch popular movies from TMDB API and enable users to rate them. Admins have the ability to manage movie entries and user ratings.
  • Rating System & File Handling: Users can add, update, and delete their ratings; file uploads supported for movie details.
  • Pagination & Responsive Frontend: Implements paginated view for movie data with a user-friendly interface.
Python
Flask
PostgreSQL
JWT
SQLAlchemy
HTML/CSS
JavaScript

Vegapunk AI Chatbot

A Conversational AI inspired by Dr. Vegapunk from the anime One Piece

  • Text-based Conversations: Chat with the AI, ask it anything, and enjoy custom responses tailored to Dr. Vegapunk’s personality from One Piece.
  • Image Processing: Upload images for analysis, and the AI will generate insightful responses based on the content of the image.
  • Anime-Themed UI: The application features a custom design inspired by Egghead Island, with Monkey D. Luffy taking the spotlight!
  • Gemini AI Integration: Powered by Google’s Gemini 1.5 Flash, it brings intelligent and creative conversations directly to your screen.
Python
Streamlit
Pillow
Google Gemini API

Visionary - Blind Assistance Application

An AI-powered system to assist visually impaired users in navigating their environment using speech recognition, image processing, and geolocation technologies.

  • Real-Time Audio and Video Processing: Users can record audio and capture images for real-time analysis using the Gemini API to describe surroundings and detect objects.
  • Voice Navigation Assistance: Geolocation support with Mapbox and Google Places provides navigation instructions and nearby points of interest.
  • Motion and Gesture Detection: Supports device motion detection and tactile gestures for intuitive control without a visual interface.
  • Text-to-Speech and Multilingual Support: Real-time audio responses in multiple languages, including dynamic language detection for personalized user experience.
Python
FastAPI
Gemini AI
Mapbox
Google Places
Google Cloud TTS
JavaScript
TailwindCSS

Skills

User Research & Empathy
Product Roadmapping & Feature Prioritization
Market & Competitive Analysis
Data-Driven Decision Making
Stakeholder Management & Cross-Functional Collaboration
Agile Methodologies & Requirements Gathering
Wireframing & Prototyping
Go-to-Market Strategy
Customer Journey Mapping
Problem Solving & Critical Thinking

Get In Touch

I'm currently looking for new opportunities. Feel free to reach out!