Hi, I'm Vishesh Srivastava

Data Scientist & AI Engineer | Applied Machine Learning | Generative AI | MLOps & Cloud Deployment | IEEE Author

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Peer-Reviewed Research

IEEE IJCNN · 2024

Autoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms

Journal of Composite Materials · 2025

Void Content Classification for Acceleration Sensor Embedded Glass-Fiber Reinforced Components Made by Resin Transfer Molding

Featured Projects

A selection of my recent work in applied machine learning, generative AI, anomaly detection, and cloud-native solutions — live from GitHub

Dart

AdvocateAI

RAG-powered legal matching platform — semantic search with vector embeddings (FAISS/Qdrant), LLM-assisted recommendations, FastAPI backend, and Flutter frontend. Backend on Render, frontend on Cloudflare Pages.

aidockerembeddingsfastapi

Live demo GitHub

Python

Insightdesk Ai

AI-powered helpdesk platform: ticket classification, RAG retrieval, anomaly detection & model monitoring. FastAPI + React.

anomaly-detectiondockerfaissfastapi

Live demo GitHub

Jupyter Notebook

Autoencoder Optimization Anomaly Detection

Convolutional autoencoder-based anomaly detection vs shallow baselines — IEEE IJCNN 2024. Live demo on HuggingFace Spaces.

anomaly-detectionautoencodercomputer-visionconvolutional-autoencoder

Live demo GitHub

Python

Ab Lab

Python A/B testing toolkit + Streamlit app: sample-size/power calcs, frequentist & Bayesian inference, CUPED, guardrails.

ab-testingbayesian-inferencedata-scienceexperimentation

Live demo GitHub

Python

AirKube

MLOps platform: LangGraph agent (OpenRouter/GLM-4.6), Neo4j knowledge graph, FastAPI inference, Airflow pipelines, Datadog.

airflowdata-engineeringdatadogfastapi

Live demo GitHub

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