MLOps Engineer with 1+ year of experience in DevOps, GenAI, LangChain, FastAPI, and real- world NLP
systems. Proven ability to build and deploy end-to-end ML pipelines with high business impact.
WHAT I HAVE DONE SO FAR
Work Experiences.
WHERE I HAVE GAINED MY KNOWLEDGE.
Educations.
Jamia Hamdard University
8.35 CGPA
October 2022 - May 2025
WHAT I HAVE CREATED AND BUILT.
Projects.
End to End AI Powered Masters Abroad Platform
•Architected and deployed a cloud-native AI SaaS platform for global graduate program discovery,
application tracking, and AI-assisted SOP generation using FastAPI, React, PostgreSQL, and multi-LLM
orchestration.
•Containerized services with Docker and deployed to Azure Kubernetes Service (AKS) using Helm, enabling
scalable and secure production deployments.
•Designed and implemented multi-model routing across GPT-4, Claude, and Groq LLMs to balance inference
cost, latency, and quality.
•Built secure authentication (JWT + RBAC), persistent storage, and cloud-ready backup strategies for a
robust and highly available service.
AI Research Intelligence Platform
•Developed an AI-powered research assistant enabling semantic search and natural-language querying over
academic papers and document collections using embedding search and large language models.
•Built a scalable backend with FastAPI that handles document ingestion, embedding generation, vector
search, and context-aware LLM responses.
•Designed and implemented a document preprocessing and indexing pipeline using transformers for
embeddings and a vector database (e.g., FAISS/Qdrant) for efficient semantic retrieval.
•Integrated LLM agents (OpenAI GPT/Claude/Gemini) for interactive question-answering with retrievalaugmented context and dynamic prompt construction.
•Containerized the full platform with Docker for reproducible, cloud-friendly deployment and easy scaling.
End to End Intelligent Document AI Pipeline
•Built a production-ready agentic document understanding system with FastAPI, Docker, and containerorchestrated services to process and query complex documents.
•Integrated Faster-RCNN for text detection, Microsoft TrOCR for OCR, and LayoutLMv3 for layout analysis
to capture text, tables, and semantic structure from documents.
•Designed an agentic AI pipeline using LangGraph agents (detection, OCR, layout,reasoning, query agents)
to orchestrate multimodal processing and produce structured insights.
•Containerized the full system with Docker/Docker-Compose for local and cloud deployments, enabling
scalable and reproducible execution.
Kubernetes Microservice Platform
•Designed and deployed a modular microservices platform using Kubernetes, Docker, and Helm to
demonstrate scalable and resilient service orchestration.
•Containerized backend services and configured Kubernetes deployments, services, and networking to
support automated scaling and inter-service communication.
•Built CI/CD workflows for automated build, test, and deployment using GitHub Actions integrated with
Kubernetes deployments.
•Structured infrastructure as code with reusable Helm charts and environment-specific configurations for
dev, staging, and production-like deployments