KHALID

NAJAM

Full-Stack Engineer

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01

About

Khalid Najam is an engineer focused on building intelligent systems at the intersection of artificial intelligence, software engineering, and entrepreneurship. With a background in Electronics and a minor in data science, he developed a strong foundation in computational systems, machine learning, and large-scale software architecture.

His early research at IIT Kharagpur explored deep learning approaches for detecting volcanic deformation from Sentinel-1 SAR satellite imagery using PSInSAR techniques. During this work, he implemented and benchmarked multiple convolutional neural network architectures including AlexNet, ResNet, and Autoencoders, achieving over 90% classification accuracy on complex geospatial datasets.

He currently works at PeopleStrong, where he contributes to large-scale enterprise HR software used by organizations across Asia. Starting as a full-stack engineer and growing into a technical leadership role, he has led the development and ownership of multiple product modules while managing engineering teams and ensuring the reliability of high-impact production systems.

Today, his work focuses on designing multi-agent AI systems that integrate deeply with enterprise applications, enabling intelligent automation and transforming how software interacts with users and organizational workflows.

Location India
Experience 4+ Years
Organization PeopleStrong
Education B.Tech (Electronics), KIIT
02

Experience

PeopleStrong

Acquired by Goldman Sachs
Full-Stack Engineer Jul 2022 — Present

Core contributor to Payroll and Expenses in Alt Worklife (PeopleStrong), working across frontend (Angular 8), backend (Java EE 7 / EJB), and database layers.

  • Built a Python microservice that converts raw client paystructure Excel files (format-agnostic) into system-compatible format, reducing support effort and turnaround time
  • Created an AI Payroll Agent using Google Vertex AI / Gemini for automated payslip query resolution
  • Built the complete Loan Module from zero — EMI engine, foreclosure, and multi-level approval workflow
  • Led Investment V3 rewrite used by 1M+ employees
  • Built the BRE ecosystem — web, mobile APIs, and outbound integration for a major airline
  • Resolved multiple P0/P1 incidents with same-day turnaround
Java EE Angular JPA/Hibernate Drools REST APIs Vertex AI

IIT Kharagpur

Research Intern
Deep Learning Research 2021 — 2022

Developed deep learning classification models for volcanic deformation detection using Sentinel-1 SAR satellite data and PSInSAR interferometric techniques under Prof. Debashish Chakravarty (Department of Mining Engineering).

  • Implemented and benchmarked CNN architectures (AlexNet, ResNet, Autoencoders) for complex geospatial imagery classification
  • Achieved 90%+ accuracy on Sentinel-1 SAR volcanic deformation datasets
  • Applied advanced augmentation and transfer learning with pretrained ImageNet weights, improving detection rates by 95%
  • Delivered weekly research updates with model metrics, confusion matrices, and architecture comparison insights
Python PyTorch Deep Learning CNNs Geospatial AI
03

Projects

Selected Work

01

Drip

AI Wardrobe Platform

A cross-platform Flutter app for wardrobe intelligence with a personalized outfit builder, AI-assisted metadata tagging, style analytics, and outfit planning.

Flutter Stack
27 Screens
MVP Stage
02

AI Headshot Generator

Nano Banana 🍌

A Flask web app that turns user photos into professional headshots using Gemini image generation, with style templates, prompt controls, and secure key-based authentication workflows.

Flask Backend
Nano Banana Model
Web Interface
03

TARS

OpenClaw on Android

Configuration and automation setup for running OpenClaw on constrained hardware, with agent orchestration, gateway integrations, health monitoring, and self-healing operational custom scripts.

OpenClaw Runtime
Android Device
Ops Focus
04

Paystructure Converter

Format-Agnostic Payroll Ingestion

Built a Python service that accepts raw client Excel structures and converts them into system-supported payroll formats, streamlining bulk paystructure creation and reducing support engineering workload.

Python Stack
Excel Input
Ops Time ↓ Outcome
05

AI Payroll Agent

Enterprise AI Assistant

A FastAPI + LangChain-based assistant for payslip queries with Gemini integration, semantic retrieval, conversation context management, and mobile-friendly response streaming.

FastAPI API
LangChain Agent
Gemini LLM
04

Stack

Backend

Java EE, EJB, JPA/Hibernate, Spring Boot, Maven

Frontend

Angular, TypeScript, HTML/CSS, JSF, GSAP, Flutter

AI / ML

Python, PyTorch, TensorFlow, scikit-learn, Vertex AI, Gemini, LLM Agents

Infrastructure

Docker, Redis, SQL Server, S3/FTP, Git, Linux

05

Timeline

Collaborate / Hire

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