
DTU'28
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Delhi Technological University
Data Scientist
June 18, 2026 – Present
FinSight
April 11, 2026 – Present
Predictive analytics for SME and Agri-Banking. Converts raw financial data into clear risk warnings and business impact statements using an AI-augmented statistical engine
View ProjectCAF-OTSRnet
March 11, 2026 – Present
Cross Attention Fusion Optical Guided Thermal Super Resolution Network
View Projectretinanet-scratch
March 11, 2026 – Present
Implemented RetinaNet from scratch using a ResNet-50 backbone with Feature Pyramid Network (FPN) for multi-scale feature extraction. Built custom anchor generator, matcher, box encoder, and focal loss. Trained on a COCO-format vehicle dataset to detect cars, buses, trucks, motorcycles, and pickups with bounding box predictions.
View Projectsar-eo-using-diffusion
March 11, 2026 – Present
A deep learning pipeline for conditional image synthesis from Synthetic Aperture Radar (SAR) to Electro-Optical (EO) imagery. Using Stable Diffusion v1.5 and a ControlNet conditioned on polarimetric SAR backscatter, it generates high-fidelity optical images under a 16GB VRAM constraint.
View ProjectDriverPulse
March 11, 2026 – Present
Driver Pulse is a rideshare driver intelligence system that fuses accelerometer, cabin audio, and earnings data to detect harsh driving events, forecast shift goals, and surface real-time safety insights — built with Python and Streamlit, designed for edge deployment.
View ProjectUber_hackathon_driver_pulse
March 4, 2026 – Present
Uber_hackathon_driver_pulse — GitHub repository
View ProjectSpeakEZ
January 16, 2026 – Present
SpeakEZ is a privacy-first, real-time speech tutor designed to support people while they are speaking.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in cutting-edge AI/ML applications. The diversity of projects (finance, computer vision, speech processing, sensor data) suggests adaptability and a broad technical curiosity. However, the lack of team-based or collaborative project descriptions makes it difficult to fully assess cultural fit in a team environment. The target role is 'Data Scientist', which aligns well with the candidate's project focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on complex problems independently.