$ whoami --verbose
┌─ IDENTITY ──────────────────────────────────────────────────────────┐
│ name : Pritish Kumar Ray │
│ role : Founder & CEO — ProEximaAI Products & Solutions │
│ education : M.Tech — Indian Institute of Technology (IIT) Patna │
│ also : Corporate Trainer & Educator — AI/ML · Full-Stack │
│ focus : Applied AI · LLM Systems · Enterprise Engineering │
│ mission : Turn frontier research into production-grade systems │
│ status : ONLINE ▸ shipping │
└─────────────────────────────────────────────────────────────────────┘|
AI-first products and consulting for enterprises that need to automate, scale, and think faster.
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AI/ML integration in digital marketing. Predictive analytics, recommender systems, NLP content intelligence.
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Leading applied research that closes the gap between published papers and deployed systems.
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Distributed backends, high-throughput services, and the unglamorous plumbing that makes AI usable.
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Training engineering teams and professionals on AI/ML, full-stack development, and modern data systems — hands-on, project-driven, industry-aligned.
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Cross-platform apps and production web platforms — from React Native builds to WordPress-scale delivery.
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Master of Technology — Indian Institute of Technology (IIT) Patna Advanced coursework and research in machine learning, deep learning, and large-scale intelligent systems — the foundation behind everything built at ProEximaAI and DataLet Research Lab.
flowchart LR
A[Enterprise Data] --> B[Ingestion & Feature Layer]
B --> C{ProEximaAI Core}
C --> D[LLM Reasoning Engine]
C --> E[Predictive ML Models]
C --> F[Vision & Document AI]
D --> G[Autonomous Workflows]
E --> G
F --> G
G --> H[Measurable Business Outcomes]
| Pillar | What We Build |
|---|---|
| 🤖 Automation | Agentic workflows that replace manual operational loops |
| 📊 Marketing Intelligence | Attribution, personalization, and predictive campaign engines |
| 🧠 LLM Integration | RAG pipelines, fine-tuning, evaluation harnesses, guardrails |
| ⚙️ Product Engineering | Full-stack systems built to survive real traffic |
◤ LANGUAGES ◢
◤ WEB & MOBILE ◢
◤ AI / ML & DATA ◢
◤ ENTERPRISE & ENGINES ◢
ai_ml_domains:
machine_learning: [supervised, unsupervised, hyperparameter_optimization, ensembles]
deep_learning: [CNNs, transformers, transfer_learning, model_compression]
frameworks: [PyTorch, TensorFlow, scikit-learn, OpenCV]
nlp: [text_classification, sentiment_analysis, RAG, LLM_orchestration]
computer_vision: [object_detection, segmentation, OCR, image_processing]
ai_for_growth: [predictive_analytics, personalization, recommender_systems]
engineering:
backend: [Spring Boot, Hibernate, .NET, Node.js, PHP, REST, microservices]
frontend: [React, JavaScript, TypeScript, WordPress]
mobile: [React Native, Android (Kotlin/Java), iOS (Swift)]
data: [MySQL, Neo4j, graph modeling, SQL optimization, ETL pipelines]
automation: [Selenium, CI/CD, containerized deployments]+ Scaling ProEximaAI's agentic automation platform
+ Researching evaluation methods for production LLM systems
+ Mentoring on AI/ML deployment at IIT Patna
! Open to: research collaborations · AI consulting · strategic partnerships
