UK

Hi, I'm Umar Khan

Software Development Engineer

Umar Khan

About Me

Professional Summary

Results-driven Software Development Engineer (SDE) with expertise in Full Stack Development, DevOps Automation, and Generative AI. Proficient in architecting scalable microservices, optimizing cloud infrastructure on AWS, and deploying machine learning models using modern CI/CD pipelines.

Proven track record of reducing latency by 99% and automating CI/CD pipelines. Seeking to leverage strong foundation in DSA and System Design to drive innovation in IT and SDE roles.

Rath, Uttar Pradesh
VIT Vellore (CGPA: 8.50)
Open to Opportunities

Cloud & DevOps

Expert in AWS infrastructure, CI/CD pipelines, and container orchestration with Kubernetes

AI/ML Engineering

Proficient in building GenAI solutions, LangChain frameworks, and predictive models

Full Stack Development

Skilled in React, Node.js, MongoDB, and building scalable web applications

Security & Performance

Implementing RBAC, vulnerability scanning, and optimizing system performance

Experience

Junior AI/ML Intern

May 2025 – July 2025

NextGen Invent

OMR Expressway, Chennai

  • GenAI-Enhanced EDA: Engineered an automated data augmentation pipeline using Google Gemini, expanding training datasets by 300% and improving model robustness by 15% through sophisticated Exploratory Data Analysis (EDA).
  • Predictive Modeling: Architected multi-model ensembles (Decision Trees, Logistic Regression, Neural Networks), achieving 92% accuracy by incorporating imbalanced data augmentation techniques and guardrails for bias mitigation.
  • Collections Framework: Developed an autonomous agent using LangChain and MCP Server logic to handle collections, reducing delinquency response times by 35% through an automated asynchronous recommendation loop.

Featured Projects

DevOps: Corporate CI/CD Pipeline Automation

Jenkins Kubernetes Docker SonarQube Prometheus
  • Architected a multi-stage CI/CD pipeline using Jenkins and Kubernetes, reducing manual deployment overhead by 60% and accelerating time-to-market by 100% of critical vulnerabilities identified by Trivy.
  • Configured a secure Kubernetes Control Plane/Worker Node architecture, implementing RBAC and Trivy scanning to mitigate 100% of critical vulnerabilities prior to deployment.
  • Leveraged Prometheus and Grafana to identify a resource bottleneck, leading to a 15% optimization in Kubernetes node resource utilization.

Full Stack AI-Driven Ticket Orchestration

Node.js React MongoDB Gemini AI Inngest
  • Engineered a scalable support system using Inngest and Gemini 1.5 Flash, automating 95% of initial triage tasks and implementing regex-based routing to cut moderator response time in half.
  • Deployed automated skill-based routing logic that extracts required skills from ticket descriptions and automatically assigns tickets to moderators with matching expertise using MongoDB regex queries.
  • Orchestrated an event-driven architecture using Inngest for asynchronous processing of ticket analysis, integrated with JSON Web Tokens (JWT) and Role-Based Access Control (RBAC).

IoT Crop Yield Prediction Architecture

Flask Python ML IoT NoSQL CatBoost
  • Architected an event-driven Flask application to ingest and process sensor streams (temperature, humidity, soil nutrients) for instant yield forecasting.
  • Engineered a custom-trained CatBoost model achieving 98% accuracy using a self-compiled 250,000-row dataset optimized for high-volume IoT ingestion.
  • Optimized NoSQL (MongoDB) API integration to handle high-volume data ingestion; reduced inference latency by 99% (from 15s baseline latency to 150ms optimized CatBoost inference).

Technical Skills

Languages

Java JavaScript Python YAML SQL Bash

Core Concepts

DSA OOP DBMS Operating Systems Networking

Web & Frameworks

React.js Node.js Express.js TailwindCSS HTML5 CSS3 RESTful APIs

Database

MongoDB MySQL

AI/ML

AI Agent Studio Hugging Face LangChain MCP Server

DevOps & Automation

AWS Linux Git GitHub/GitLab Docker Ansible Jenkins Kubernetes Terraform

Education & Certifications

Vellore Institute of Technology (VIT)

B.Tech in Computer Science

2022 – 2026 | Vellore, TN | CGPA: 8.50

Certifications

AWS Certified Cloud Practitioner
MongoDB Database Administrator
Microsoft GitHub Copilot
Associate AI Engineer (Datacamp)

Get In Touch

Let's Connect

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions. Feel free to reach out!

Location

Rath, Uttar Pradesh, India