Hi there 👋 I'm Sarthak Chauhan, an AI/ML enthusiast exploring LLM fine-tuning, NLP and Computer Vision.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Student
Data Scientist
June 19, 2026 – Present
slime-mold-vision
June 11, 2026 – Present
What if slime mold networks could help a CNN see? Bio-inspired spatial priors for image classification — honest null result on CIFAR-10.
View Projectspeakql
May 23, 2026 – Present
Agentic NL-to-SQL engine with graph-based JOIN discovery. Query any database in plain English.
View Projectshl-recommender
May 9, 2026 – Present
Conversational SHL Assessment Recommender — AI Intern take-home
View Projectimagenet-failure-universality
May 2, 2026 – Present
Cross-architectural audit of 12 ImageNet-pretrained vision models across 5 distribution shifts. Finds 7.10% of clean ImageNet is misclassified by every model simultaneously (p<10−4), climbing to 35.9% under
View ProjectStreamMind
December 29, 2025 – Present
Real-time AI system that classifies, clusters, and answers student questions from YouTube live chat using Gemini embeddings, pgvector semantic search, and a Redis worker pipeline. Built for educators who teach at scale.
View ProjectLandmark_detection
August 21, 2025 – August 21, 2025
Streamlit web app for scene classification using Vision Transformer (ViT). Upload images to classify into 6 categories: Buildings, Forest, Glacier, Mountain, Sea, Street.
View ProjectAurigen-AI-Powered-Jewelry-Design-Studio
June 30, 2025 – Present
Sketch it. Describe it. Wear it. AI-powered jewelry design that turns prompts into masterpieces.
View ProjectAeroPINN
April 7, 2025 – Present
Real-time airflow simulation around airfoils using Physics-Informed Neural Networks (PINNs) with a Streamlit interface.
View ProjectAeroPINN
April 5, 2025 – April 7, 2025
Leveraging Physics-Informed Neural Network(PINN) to simulate airflow patterns around arbitrary geometries(AirFoils) in real-time.
View ProjectSmart-Attendance-management-system
August 16, 2024 – Present
QR code-based smart attendance system with Flask web server, Tkinter desktop GUI for teachers, and local network scanning for students
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong passion for AI/ML, with numerous personal projects demonstrating initiative and self-directed learning. The projects cover a wide range of applications, from web apps to research-oriented explorations, indicating a broad interest in the field. This aligns well with a culture that values continuous learning and innovation. However, the lack of professional experience or team-based projects makes it challenging to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong drive for innovation and problem-solving. The diversity of projects indicates adaptability and a willingness to tackle complex challenges. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.