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Achievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: Quickdraw

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JayDS22/README.md

Jay Guwalani

Typing SVG

I build enterprise-scale distributed systems, real-time inference pipelines, and production software. My work spans 24B+ records/day at sub-200ms latency, with $122.9M+ in quantifiable cost savings through ML-driven optimization.

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Featured Projects

Domain Project Highlights
GenAI / LLM Production LLM Serving Framework vLLM continuous batching, 12.3K req/sec, 42ms P50, INT4 quantization, 70% memory savings
Multi-Agent AI ConstellationAI Multi-Agentic RAG LangGraph orchestration, semantic caching, real-time token optimization, GPU monitoring
Data Engineering Enterprise Data Warehouse 24B records, <60s latency, 100K records/sec, 32 fact tables, 128 dimensions
Distributed Systems Big Data Query Platform on K8s Distributed query engine on Kubernetes, horizontal scaling, fault-tolerant execution
Medical Imaging Real-Time Medical Image Enhancement DDPM + 3D U-Net for CT/MRI, SSIM: 0.89, <2s on 512³ volumes, 92% radiologist approval
Quantitative Finance Quant Trading Platform LSTM/Transformer HFT, Sharpe: 2.1, 87.3% directional accuracy, 1M+ ticks/sec
Computer Vision Industrial Quality Control CV YOLOv8 + ResNet-50, 94.2% accuracy, 500+ images/min, <150ms, TensorRT
Infrastructure Automated Infra Provisioning Terraform, Ansible, Puppet, VMware vSphere/NSX-T, 85% faster deployments, 95% compliance
Experimentation Real-Time Experimentation Platform Thompson sampling, CUPED, causal inference, Benjamini-Hochberg, 50+ experiments

See all 70+ repositories →

What I Work With

Languages · Python · Java · Scala · SQL · TypeScript · JavaScript · C++ · Go · R

ML & AI — PyTorch · TensorFlow · Scikit-Learn · HuggingFace · LangChain · and more

PyTorch · TensorFlow · Scikit-Learn · XGBoost · LightGBM · HuggingFace Transformers · LangChain · LangGraph · OpenAI · Anthropic Claude · MLflow · Weights & Biases · Optuna · Ray Tune · ONNX · TensorRT · vLLM · NVIDIA NeMo · Stan · PyMC

Backend & APIs — FastAPI · Flask · Spring Boot · Node.js · and more

FastAPI · Flask · Django · Spring Boot · Node.js · Express · REST · gRPC · GraphQL · WebSockets · Celery · RabbitMQ · API Gateway

Data & Distributed Systems — Spark · Kafka · Airflow · Snowflake · and more

Apache Spark · Apache Kafka · Apache Airflow · Prefect · Apache Flink · Delta Lake · Apache Hudi · Databricks · Snowflake · dbt · Apache Hive · Presto/Trino

Databases & Storage — PostgreSQL · MongoDB · Redis · Neo4j · and more

PostgreSQL · MySQL · MongoDB · Redis · Elasticsearch · Apache Cassandra · Neo4j · ClickHouse · DynamoDB · Redshift · BigQuery · Pinecone · ChromaDB · S3 · HDFS

Cloud & Infrastructure — AWS · Azure · GCP · Kubernetes · Terraform · and more

AWS: SageMaker · Bedrock · Lambda · Step Functions · EKS · ECR · EventBridge · Glue · Kinesis · Redshift · S3 · CloudFormation · CDK Azure: Data Factory · Synapse · Purview · AKS · Azure ML GCP: Vertex AI · BigQuery · GKE · Dataflow · Pub/Sub IaC & Containers: Terraform · Ansible · Puppet · Docker · Kubernetes · Helm

DevOps & Monitoring — GitHub Actions · Jenkins · Prometheus · Grafana · and more

GitHub Actions · Jenkins · ArgoCD · GitOps · Prometheus · Grafana · ELK Stack · Datadog · CloudWatch · PagerDuty · SonarQube · Trivy · CI/CD pipeline design

Analytics & Visualization — Tableau · Power BI · Plotly · Streamlit · and more

Tableau · Power BI · Apache Superset · Looker · Plotly · Streamlit · Jupyter · Matplotlib · Seaborn · D3.js

Statistical Methods — Bayesian Inference · Causal Inference · Survival Analysis · and more

Bayesian Inference (Stan/PyMC) · MCMC · Hierarchical Models · Causal Inference · Propensity Score Matching · Difference-in-Differences · Instrumental Variables · Survival Analysis (Cox/Kaplan-Meier) · Time Series (ARIMA/GARCH/State-Space) · A/B Testing · Multi-Armed Bandits · Sequential Testing · Power Analysis

Impact

24B+
records/day processed		 <200ms
real-time inference		 $122.9M+
ML-driven savings		 13.4K
crashes prevented
99%+
system uptime		 74.4%
infra cost reduction		 3
research publications		 130+
professionals mentored

Recognition

Best Performer Hackathon Judge Research

  • 🏆 Best Performer FY 2023-24 — Bridgestone Group, recognized for enterprise AI delivery
  • ⚖️ Hackathon Judge & Mentor — HackMIT, UCLA LA Hacks
  • 🎤 Invited Speaker — ML conferences & technical advisory boards
  • 📚 3 Research Publications — IEEE, IJAET & viXra in predictive maintenance & ML

Publications

  • Predictive Maintenance in Automotive Telematics using Machine Learning — viXra:2511.0028 ML models (K-NN, Random Forest, SVM) for truck load classification via CAN bus telematics; 95.97% accuracy
  • IEEE & IJAET — Predictive maintenance algorithms with 64.53% accuracy improvement across 300K+ vehicles

GitHub Streak

Pinned Loading

  1. ConstellationAI-Multi-Agentic-RAG ConstellationAI-Multi-Agentic-RAG Public

    Production-ready multi-agent RAG system with LangGraph orchestration, real-time token optimization, GPU monitoring, semantic caching, and comprehensive performance analytics. Built for scale.

    Python 2

  2. Autogen-Retrieve-Chat-System Autogen-Retrieve-Chat-System Public

    Production-ready RAG system using AutoGen's multi-agent framework for intelligent document analysis, automated code generation, and complex question answering with dynamic context management.

    Python

  3. Real-Time-Experimentation-Platform Real-Time-Experimentation-Platform Public

    🧪 A/B testing platform with Thompson sampling multi-armed bandits achieving 23% higher conversion rates 📊 Sequential testing framework with Benjamini-Hochberg correction, causal inference, and Baye…

    Python

  4. Insurance_Modelling Insurance_Modelling Public

    This repository contains a ML Project utilizing Linear Regression Models, GLMs, and various methodlogies to perform indepth analysis of a Motor Insurnace Data.

    Jupyter Notebook

  5. Multi-Robot-Coordination-Framework Multi-Robot-Coordination-Framework Public

    Multi-Robot Coordination Framework with distributed reinforcement learning achieving 92% convergence, <50ms allocation, and 99.9% availability Scalable autonomous robot fleet coordination using Q-l…

    Python 1

  6. Multi-GPU-Distributed-Training-Framework Multi-GPU-Distributed-Training-Framework Public

    Production-ready multi-GPU distributed training framework with DDP/FSDP, gradient compression, and 89% scaling efficiency at 16 GPUs. Includes TensorBoard monitoring, auto-checkpointing, and Kubern…

    Python 1 1