VJ Vaibhav Jain
Open to AI Engineering, Software Engineering & Data Analytics Roles

Vaibhav Jain

I engineer

AI Engineer, Software Engineer, and Data Analytics specialist building end-to-end intelligent systems. I specialize in deploying generative AI & RAG pipelines, training machine learning models, building high-throughput distributed software backends, and transforming massive datasets into low-latency analytical intelligence.

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Model Accuracy & Precision Benchmark
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AI, Software & Analytics Systems Built
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Real-Time Inference & Query Latency
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Data Records Processed & Analyzed
Interactive Simulation

Live AI Inference & Data Analytics Pipeline

Follow a real-time data flow from multi-source ingestion through statistical preprocessing, neural embeddings & vector retrieval, to predictive analytics outputs.

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Ingestion Layer Streaming & Batch ETL
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Data Analytics Engine Feature Normalization & Stats
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Neural Inference & RAG Embedding & LLM Scoring
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Predictive Store OLAP & Real-Time Dashboard
ai-analytics-inference.log -- live monitor LISTENING
[INIT] AI Inference Cluster & Data Analytics Pipeline ready. Stream standby...
Production Code & Systems

Featured Projects

Architectural solutions across Artificial Intelligence, scalable Software Engineering, and high-throughput Data Analytics. Hover cards for 3D tilt perspective.

Flagship AI & Software Architecture

OmniMind: Enterprise RAG & Distributed LLM Inference Engine

A high-throughput Retrieval-Augmented Generation (RAG) platform and autonomous agent system designed for enterprise-scale semantic document synthesis and low-latency question answering.

  • Engineered a hybrid vector retrieval pipeline combining dense embeddings (Hugging Face / OpenAI) with BM25 sparse keyword ranking, cutting query hallucinations by 64%.
  • Built an asynchronous FastAPI microservice backend with Redis semantic caching, achieving sub-45ms p95 response times across 20,000+ daily conversational queries.
  • Orchestrated containerized model deployment on AWS with Docker and Kubernetes, incorporating automated token-rate tracking and fallback LLM routing.
Python PyTorch LangChain FastAPI Vector DB (Milvus) Redis Cache Docker AWS
View Repository Inspect Live Architecture
Data Analytics & Streaming

NexusAnalytics: Real-Time Stream Engine

High-velocity streaming data pipeline and interactive business intelligence dashboard processing 50,000+ telemetry events per second.

  • Built continuous event consumers using Apache Kafka and Polars/DuckDB for lightning-fast statistical aggregations and trend forecasting.
  • Implemented automated distribution drift alarms and outlier detection using rolling z-score windows.
  • Served live analytics to a responsive React/D3 dashboard through resilient WebSocket subscriptions.
Python Apache Kafka DuckDB Polars React WebSockets
View Repository
Computer Vision & Deep Learning

NeuroVision: Edge Multi-Object Tracking

Real-time multi-camera video analytics and detection pipeline running deep convolutional neural networks optimized for edge hardware.

  • Trained and fine-tuned custom YOLOv8 object detection and DeepSORT tracking models for spatial telemetry extraction.
  • Optimized inference execution using ONNX Runtime and TensorRT, achieving 42+ FPS on edge devices without GPU thermal throttling.
  • Packaged automated alert feeds and historical trajectory analytics via a lightweight REST backend.
PyTorch OpenCV TensorRT FastAPI Docker CUDA
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Software Engineering & Systems

CoreScale: Distributed Cloud Microservices

Event-driven software architecture and microservice platform built for high concurrency, fault tolerance, and low query latency.

  • Designed high-throughput REST and gRPC service boundaries with connection pooling and circuit breakers.
  • Managed multi-tenant data storage across PostgreSQL and Redis, enforcing ACID transactions and zero data loss.
  • Automated infrastructure provisioning with Terraform and CI/CD testing pipelines.
Node.js Go PostgreSQL Redis gRPC Docker
View Repository
Core Tenets

Engineering Principles

How I design production AI systems, scalable software, and high-performance data workflows.

01

Production AI & Grounded Accuracy

AI is only as good as its reliability. I enforce strict RAG verification, prompt guardrails, semantic embeddings, and continuous model evaluation to eliminate hallucinations.

02

Low-Latency Data Paths

Whether running neural model inference or analytical database aggregations, I optimize execution graphs, vector indices, and in-memory caches to deliver responses in milliseconds.

03

Resilient Software Systems

Architect for scale and failure tolerance. Implement idempotent API contracts, circuit-breaking microservices, and automated graceful degradation across cloud services.

04

Data Integrity & Observability

Clean data powers accurate intelligence. Strict schema validation, statistical anomaly monitoring, and end-to-end telemetry ensure analytical and operational trust.

Background

Experience & Journey

Hands-on software development, machine learning engineering, data pipelines, and technical milestones.

May 2026 — Present Production Engineering

AI & Software Development Engineer

Intelligent Systems & Cloud Applications

Engineered scalable backend RESTful microservices, AI inference endpoints, and automated CI/CD deployment pipelines. Integrated real-time data analytics feeds and optimized SQL/NoSQL query throughput under Agile sprints.

Python Node.js FastAPI PostgreSQL Docker AWS
2025 — 2026 Hackathon & Open Source

Technical Lead & AI Project Finalist

National Collegiate Engineering Hackathons

Built end-to-end intelligent predictive systems combining edge telemetry ingestion, automated anomaly detection models, and real-time analytics dashboards under high-velocity 36-hour sprint environments.

PyTorch Data Analytics WebSockets Distributed Systems
2023 — 2027 Academics & Cloud Credentials

B.Tech in Computer Science & Engineering

Core CS, Artificial Intelligence & Data Architecture

Comprehensive curriculum covering Data Structures & Algorithms, Machine Learning, Database Management Systems, Operating Systems, and Distributed Computing. AWS Certified Cloud Practitioner.

AWS Certified Machine Learning Data Structures System Design
Capabilities

Technical Skillset

Click any domain filter to highlight relevant technologies across AI, Software Engineering, and Data Analytics.

Direct Line

Let's Engineer Something Impactful

Whether you are looking for an AI Engineer to deploy production intelligent models, a Software Engineer to scale resilient platforms, or a Data Analytics lead to unlock insights, my inbox is open.

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