Machine Learning Engineer, Data Science, Computer Vision, GenAI, web3 & DJ
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
vision-language-demos
February 23, 2026 – Present
👁️ Vision-Language Model demos — CLIP, LLaVA, GPT-4V for image understanding
View Projectvaibhavbaswal95
February 23, 2026 – Present
Vaibhav Baswal — ML Engineer | AI Tools Builder | Quant Tinkerer
View Projecttime-series-transformers
February 23, 2026 – Present
time-series-transformers — GitHub repository
View Projectstable-diffusion-workflows
February 23, 2026 – Present
🎨 Stable Diffusion workflows — text2img, img2img, ControlNet, LoRA training
View Projectprompt-engineering-patterns
February 23, 2026 – Present
💬 Curated prompt engineering patterns with working examples — CoT, Few-Shot, ReAct and more
View Projectoptions-pricing-ml
February 23, 2026 – Present
💹 ML-based options pricing beyond Black-Scholes — neural networks and Monte Carlo
View Projectembeddings-101
February 23, 2026 – Present
🧮 Visual guide to embeddings — similarity search, clustering, RAG foundations
View Projectllm-trading-signals
February 23, 2026 – Present
📈 Generate trading signals from financial news using LLMs — sentiment analysis, event detection, signal generation
View Projectstructured-outputs-demo
February 23, 2026 – Present
📐 Extract structured data from text using LLMs + Pydantic + Instructor — reliable, typed outputs every time
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong passion for AI/ML and a self-driven learning approach, which aligns well with an innovative and research-oriented culture. The diversity of projects (NLP, computer vision, quantitative finance) suggests adaptability and a broad interest in the field. However, without information on team experience or contributions to open-source projects, assessing collaboration and broader cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear, but there is no information on collaboration, communication style, or problem-solving approaches in a team setting.