Anil Prasad
anilatambharii
Software Engineering - Product | AI & GenAI leader | Open-source advocate building scalable ML, LLM, and data solutions to drive real-world impact.
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Repos
39
Stars
33
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2
Top Language
Python
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Top Repositories
The world's first AI observability platform that doesn't just alert you- it fixes itself. Most tools stops at showing you the problem. ARGUS closes the loop autonomously. I built the self-healing AI ops platform that closes the loop monitoring tools never could. Production-grade LLM observability in 3 lines of Python. G-ARVIS scoring
Production-grade open source MLOps pipeline for enterprise data engineering and predictive modeling. Includes ETL, training, FastAPI deployment, Airflow orchestration, CI/CD, sample data, and MLflow integration. Ready for real business use and customization.
SAM3 Perception Hub provides enterprises with a production-ready blueprint to integrate Meta's revolutionary [Segment Anything Model 3 (SAM 3)](https://ai.meta.com/sam3/) and [SAM 3D](https://ai.meta.com/sam3d/) into real-world AI products. This isn't just a model wrapper—it's a full-stack reference platform designed by engineers, for engineers.
Sample implementation of OpenAI Operator
Personalized drug response prediction using genetic markers and machine learning.
Python Code that demonstrates Feature Engineering traditional and latest way using google's RLM
Repositories
39No description provided.
Fine-Tuning a Pre-Trained Language Model for Bio-Genetics Domain
Sample implementation of OpenAI Operator
Personalized drug response prediction using genetic markers and machine learning.
Python Code that demonstrates Feature Engineering traditional and latest way using google's RLM
Built a real-time recommendation API leveraging AWS Personalize, focusing on trust, consent, and ethical data use—tested with open‐source fintech dataset and complete working demo
CLARIFY provides practical tools for feature attribution and visualization for CNNs and Vision Transformers.
Scalable, sharded MySQL with Vitess and ETL integration for clinical/enterprise use cases—runs locally or in the cloud.
Enterprise AI Orchestration Platform that transforms AI chaos into controlled, compliant workflows. Multi-provider integration (OpenAI, Anthropic, Perplexity) with automated compliance monitoring (NIST AI RMF, ISO/IEC 42001), real-time analytics, cost optimization, and complete audit trails. Perfect for healthcare and regulated industries requiring
Production-grade open source MLOps pipeline for enterprise data engineering and predictive modeling. Includes ETL, training, FastAPI deployment, Airflow orchestration, CI/CD, sample data, and MLflow integration. Ready for real business use and customization.
Enterprise-Grade PyTorch Framework with Built-in Governance
A full-stack decision engine for enterprises to evaluate and rank LLMs (Llama 4, GPT-5, Gemini) based on domain constraints like HIPAA compliance, financial determinism, and latency. Built with Next.js, FastAPI, and Docker
Production-grade, HIPAA-compliant LLM application with RAG, comprehensive safety testing, and cost optimization for healthcare document Q&A
The world's first AI observability platform that doesn't just alert you- it fixes itself. Most tools stops at showing you the problem. ARGUS closes the loop autonomously. I built the self-healing AI ops platform that closes the loop monitoring tools never could. Production-grade LLM observability in 3 lines of Python. G-ARVIS scoring
SAM3 Perception Hub provides enterprises with a production-ready blueprint to integrate Meta's revolutionary [Segment Anything Model 3 (SAM 3)](https://ai.meta.com/sam3/) and [SAM 3D](https://ai.meta.com/sam3d/) into real-world AI products. This isn't just a model wrapper—it's a full-stack reference platform designed by engineers, for engineers.
Price Comparison Platform
A Python utility for extracting text from PDF documents while automatically redacting personally identifiable information (PII), protected health information (PHI), and confidential information (CI/CII).
face_sleep_detection
showcase kafka consumer and producer
This project demonstrates how to build an enterprise-grade Generative Task Processing (GTP) tool by integrating Anthropic's Claude AI with a full-stack architecture. The repo includes API integration, backend, frontend, database design, and advanced features like prompt memory and session management
This project demonstrates **OpenAI-powered prompt engineering** for rapid sales data summarization and transformation from raw Excel/CSV files into polished business insights—ideal for high-velocity tech/consulting environments.
LLM Pretraining Framework (100B+ Params): Megatron-LM + DeepSpeed + FSDP. Open-source, HPC-ready system with tiny GPT simulation, distributed training, tokenizer tools, dataset pipelines, and deployment scripts for Slurm, AWS, Azure, and Docker.
A Python utility for extracting text from PDF documents while automatically redacting personally identifiable information (PII), protected health information (PHI), and confidential information (CI/CII).
Predictive Customer Churn Reduction for a Subscription-Based SaaS Business Problem Definition:
Facerecognition
Implementing ML/AI algorithms, deep learning, natural language processing (NLP) and knowledge graphs and feature stores.
Building a Data Lakehouse with Apache Iceberg, Spark, Dremio, Nessie & Minio
Evaluating Models
Financial Analysis: Using GenAI to automate financial analysis. Quickly analyze financial data, identify trends and patterns, and provide insights into the financial health of the organization. This can save time and reduce costs associated with financial analysis
No description provided.