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clothing-recommender
March 19, 2026 – Present
Hybrid clothing recommendation system using image embeddings and body measurements.
View Projectimage_description_api
February 20, 2026 – Present
image_description_api — GitHub repository
View Projectbikerz-buddy
February 1, 2026 – Present
A minimal Android HUD for motorcyclists using old phones
View Projectsmart-translate-api
February 1, 2026 – Present
# Smart Translate API FastAPI-based backend that detects source language and translates text using Google Cloud Translate. ## Features - Automatic source language detection - Stateless API - Cloud-deployable - Docker-ready ## Run locally ```bash uvicorn main:app --reload
View Projectspeech_to_text
February 1, 2026 – Present
Stateless, cloud-deployable speech-to-text backend built with FastAPI, FFmpeg, and Google Cloud Speech, designed for scalability and async workloads.
View Projectfirst-city-scale-EV-station-prediction-study-for-Delhi-using-machine-learning
August 23, 2025 – August 23, 2025
A machine learning project for optimizing EV charging station placement using geospatial and demographic data. Models like LightGBM, CatBoost, and XGBoost were evaluated for accuracy and F1-score, with predictions applied to Delhi grids. Includes preprocessing, feature importance, and visualization
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in diverse technical areas, including machine learning, mobile development, and web development. While this shows breadth, the lack of team-based or collaborative projects makes it difficult to assess cultural fit for a team-oriented role. The projects align with a data scientist role, particularly the EV station prediction and clothing recommender systems.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on technical implementation.