Event Management

My written plays have been enacted on stage

Playwright

Event Organnizer

Product marketing

Quiz Master

Executive Committee Member

Theology

Post Doc Fellow

Doctor of Philosophy - PhD

B Tech

Master's degree

SDE II

Core PostgreSQL Database Engine development

Senior Staff Data Platform Engineer

Owner of statistics in SQL Server. Also own Approximate query processing and statistics for SQL Server Engine.  Building the next generation of improved stats that will drive innovation in Big Data in the coming decade.
SQL Data warehouse. Working on Massively parallel processing architectures handling Petabyte scale data. Working on architecture specific optimizations for parallel , vectorized and SIMD based speed ups. Core RDBMS algorithms along with scale out and scale up technologies, near to bare metal performance. Creating ground work for futuristic big data solutions for Microsoft, that can be competitive world wide.

Senior Software Engineer

ICE - iOS,Android, Windows 10, Windows 8,8.1 and Windows Phone Apps,  Roaming Infrastructure, Customization backend, Personalization, Object Store Improvements, Key Value In memory store, Data Ingestion pipeline, Edge Browser, Performance Infrastructure for Surface line of products

Software Engineer

Worked as an intern working on their UI based debug environment called DVE.

Intern Research and Development Engineer

Worked on Intel projects including Skylake, Haswell, Broadwell designing runtime improvements for design verification tools for RTL. I owned the entire runtime component for VCS (Verilog Compiled Simulator)

Senior RnD engineer

Multi-modal AI product development integrating VLMs/LLMs/GANs for intelligent dApps and enterprise automation. Built agentic platform using LangGraph with multi-agent workflows (planner/executor/critic) as deterministic state graphs with guardrails, timeouts, cost budgets. Implemented MCP servers exposing unified tool surfaces across code editors, browsers, data access, CI/CD.
Layered context management features short-term scratchpads, rolling windows, long-term memory via Mem0 and vector RAG. Added memory compaction, summarization, prompt chunking, hybrid retrieval, re-ranking, cache-aware assembly. Comprehensive observability tracks latency, cost, tokens, errors for production reliability.
Knowledge graphs using Neo4j/RDF/SPARQL with NER pipelines (spaCy, HuggingFace, AWS Comprehend). GenAI orchestration supports instruction tuning, RLHF/RLAIF, LoRA/QLoRA, quantization (bitsandbytes/GPTQ), FlashAttention. Evaluation suites include SWE-bench, HumanEval, MMLU.
LLMOps with Docker/K8s, H

Architect

RIG.AI| Post Doc (SBGCE) | Auburn (PhD) | Univ. of Washington(M.S) | Anna Uni | ServiceNow | Microsoft(SQL Server Engine

Know about Parag Paul's work experience, education, bootcamps, certifications, and much more. Parag Paul