Full-Stack AI Engineer

DivyajeetPala

Building intelligent systems at the intersection of large language models, multimodal AI, and production infrastructure. Currently leading AI development at Leap Tech.

divyajeet@sanat-tech ~ zsh
5+
Years of experience
5+
AI systems shipped
5+
Engineers led
9.11
Academic CGPA
01

Experience

Leap Technologies
2023 — Present
Senior AI Full Stack Dev
AI-Powered HRMS Platform
  • Spearheaded end-to-end architecture of an AI-driven HRMS optimizing large-scale recruitment workflows; led a team of 5 engineers
  • Integrated open-source LLMs for resume parsing, semantic candidate ranking, and intelligent job-role matching
  • Architected advanced RAG pipelines with vector search for contextual decision support
  • Engineered scalable backend with Django, DRF & PostgreSQL; containerized and deployed on Azure via Podman
LLMsRAGDjangoPostgreSQLAzurePodman
Agentic Infrastructure Management Platform
  • Designed an AI-agent-powered system enabling server rack operations through natural-language commands
  • Implemented real-time monitoring and automation for VLAN, BGP, ACL configurations, and hardware telemetry
  • Built agentic orchestration for log aggregation, ACL validation, and task execution using open-source LLMs
Agentic AIOpen-Source LLMsFastAPILinux
Multimodal Intelligence System
  • Architected on-premise AI platform integrating Vision-Language Models for inference across image, video, and audio; led a team of 3 engineers
  • Designed scalable vector indexing and RAG workflows for efficient retrieval of unstructured media datasets
VLMsVector SearchFAISSPyTorch
WhatsApp Document Inference System
  • Developed a custom RAG pipeline from scratch — without external orchestration frameworks — for secure document intelligence
  • Integrated WhatsApp Business API enabling real-time conversational querying of assigned documents
RAGWhatsApp APIPython
Sezy India
2022 — 2023
Full Stack AI Developer
E-Commerce Intelligence Platform
  • Designed and developed a data-intensive web platform for managing and processing large-scale e-commerce datasets
  • Engineered automated scraping pipelines using Scrapy, Selenium, and BeautifulSoup for structured and unstructured data
  • Implemented data preprocessing and analysis workflows with Pandas for downstream intelligence and reporting
  • Integrated image processing and visual similarity search pipelines to enhance product discovery
  • Built scalable backend services with Django and MySQL for efficient data storage and retrieval
ScrapySeleniumPandasDjangoMySQL
02

Technical Skills

Languages
Python C++ C / C++ SQL SQL
AI / Machine Learning
PyTorch PyTorch LLMs LLMs VLMs VLMs RAG RAG Vector Search Vector Search FAISS FAISS
Backend & Frameworks
Django Django / DRF FastAPI FastAPI Flask Flask
Frontend
React React TailwindCSS TailwindCSS HTML5 HTML & CSS Alpine.js Alpine.js
Databases
PostgreSQL PostgreSQL MySQL MySQL
Cloud & DevOps
Microsoft Azure Microsoft Azure AWS S3 AWS S3 Podman Podman Linux Linux Git Git & Gitea
Data Engineering
Pandas Pandas Scrapy Scrapy Selenium Selenium BeautifulSoup BeautifulSoup
03

Education

B.Tech · Computer Engineering (AI)
Marwadi University
Bachelor of Technology in Computer Engineering with AI specialisation
Rajkot, Gujarat, India
9.11
CGPA
2019 – 2023
04

Contact

"Open to work at the frontier of AI systems and intelligent infrastructure."