Hi, I'm Jaynil Jaiswal

Software Developer | ML Engineer

Specializing in AI Infrastructure, Orchestration, and Data Engineering.

Jaynil Jaiswal

About Me

Jaynil Jaiswal

I'm a Software Developer and Machine Learning Engineer with a focus on building robust AI control planes, orchestration platforms, and scalable data infrastructure. My expertise spans from low-level systems programming in C++ and Go to architecting distributed microservices and RAG pipelines.

Education

  • 🎓M.S. in Computer Science
    UC San Diego, 2023 - 2025
  • 🎓B.Tech in Computer Science
    Indian Institute of Technology Roorkee, 2021

Certifications

  • 📜IBM Data Engineering Professional
    Issued Apr 2025

Skills

Java (Spring Boot)Python (PyTorch, TensorFlow)GoC++Temporal.ioKubernetesKServeRedis/AerospikeTerraform

Featured Projects

LLM-Powered Search Engine

A custom search engine powered by large language models that allows natural language queries across my portfolio projects and experience.

PythonHuggingFaceFastAPI
View Code / Demo

Durable Multi-Agent Orchestration

Architected a fault-tolerant agent orchestration platform using Temporal.io, enabling durable workflows, stateful orchestration, and 'Skeletonizer' memory management.

Temporal.ioJavaSpringBoot
View Details

Matrix Multiplication on GeneSys

Programmed GeneSys hardware with a 4x4 systolic array of PEs for efficient matrix multiplication, leveraging iterator tables and instruction scheduling.

Hardware AccelerationISA
View Code / Demo

Sales Data Warehouse & BI

Designed a scalable OLAP Data Warehouse in PostgreSQL. Built ETL pipelines handling 10M+ daily records for a Looker Studio dashboard.

PostgreSQLPython ETLLooker
View Code / Demo

Enterprise AI Gateway

Built a high-performance AI Gateway using KServe for model serving and Redis for semantic caching. Reduced query latency by 60%.

KServeRedisLangChain
View Code / Demo

Optimized Matrix Multiplication

Engineered a highly optimized SGEMM kernel in CUDA, achieving 3386 GFLOPS. Utilized 2D shared memory tiling and coalesced memory reads.

CUDAC++Nsight
View Code / Demo

Distributed Cache with gRPC

Built a high-availability distributed in-memory cache in Go. Implemented custom Gossip protocol and gRPC bidirectional streaming.

GogRPCConsistent Hashing
View Code / Demo

Instruction-Following LLM Fine-Tuning

Fine-tuned FLAN-T5-XL and Mistral-7B on Bitext dataset using LoRA, achieving 28% ROUGE-L improvement with 60% memory reduction.

LoRAFLAN-T5Mistral-7B
View Code / Demo

Streaming ETL Pipeline

Automated a scalable real-time ETL pipeline with Apache Kafka, MySQL, and Airflow for toll traffic analysis, handling 1M+ records.

KafkaAirflowMySQL
View Code / Demo

Professional Experience

Graduate Student Researcher

Apr 2024 - Present

WiFire Lab, SDSC, UCSD

San Diego, CA

  • Architected a High-Throughput Data Pipeline for a 234GB spatiotemporal dataset, optimizing ingestion for Transformer (ViViT) models.
  • Optimized Computational Efficiency by implementing O(N log N) Fourier-domain mixing algorithms.
  • Engineered a 'Differentiable Simulation' Framework (Soft-ROS), integrating physical constraints directly into the Gradient Flow.
  • Standardized Scientific Workflows using MLflow, establishing a robust Model Registry.

Software Engineer IC2

July 2021 - Sep 2023

Oracle

Bangalore, India

  • Scaled and optimized the Distributed Control Plane for a global Dynamic Routing System across 18+ regions.
  • Engineered a 'Bandwidth Broker' POC using Aerospike and Redis to process 1M+ metric updates/sec.
  • Developed the 'Fleet Health Visualizer,' a Go-based monitoring tool utilizing real-time telemetry.
  • Engineered a 'Developer Control Plane' through standardized SDKs and Terraform providers.

MLOps Engineer

May 2020 - Feb 2021

Proton AutoML (Acquired by Cliently)

Remote, US

  • Led the architectural evolution of core AutoML services into a resilient Microservices Architecture.
  • Architected a cost-optimized, self-managed Kubernetes platform for high-density ML workloads.
  • Developed Custom Kubernetes Operators (CRDs) in Go to automate the lifecycle of training jobs.
  • Hardened the Inference Data Plane by migrating to a high-concurrency architecture using Nginx and AWS ALBs.

Latest Insights

Aug 15, 2025•18 min read

MLOps Platforms: The 2025 CTO’s Guide

Introduction — The True Cost of Technical Debt in Machine Learning...

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May 4, 2025•4 min read

Building an Efficient RAG System

The ability to efficiently search and retrieve relevant information from massive datasets is a cornerstone of modern AI...

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Aug 9, 2025•5 min read

RAG Isn’t Dead, It’s Evolving

If you’re building with AI, you know that Large Language Models (LLMs) are incredibly powerful. But you also know their limitations...

Read More

AI-Powered Portfolio Search

Explore my AI-powered portfolio search engine — ask questions and discover my projects interactively using my custom Serverless RAG Gateway.

Hi! I'm the AI Gateway for Jaynil's portfolio. Ask me anything about his experience engineering AI Infrastructure and Distributed Systems.

Get In Touch

Let's collaborate

I'm always interested in hearing about new projects, research opportunities, or just chatting about AI and software engineering.

Location

Raleigh, NC