Software & AI Gurugram, IN IST

Fig. 01 / Interconnection

Applied AI Engineer

Explore AI tools
and software.

Applied AI Engineer at PeopleStrong, working on AI agents and enterprise software.

View projects Get in touch
PeopleStrong / AI & enterprise systems Scroll for projects Python · TypeScript · Java
00 / Overview

Explore the current work.

Building custom agent harnesses and internal tools, overseeing organisation-wide AI adoption, and improving AI usage efficiency.

AGENT HARNESSES · INTERNAL TOOLS · AI ADOPTION

01 / Projects

Explore the projects.

Work from PeopleStrong and IIT Kharagpur.

01 AI ticket investigation · 2026 Internal engineering system

ATR — Automatic Ticket Resolution System

AI agents for support investigations.

Explore how agents investigate support tickets using code, logs, data, and team documentation. Follow the findings through review and see how engineers resume a saved investigation.

Teams team-specific tools and access HITL continue a saved investigation Graph context across repositories
Read ATR case study
02 AI payroll assistant · 2025–2026 Internal payroll assistant

Payslip Agent

Answers to payroll questions.

See how an assistant retrieves payslips, explains pay and taxes, and provides protected documents. Each request carries its own employee identity, including MCP tool calls.

Identity scoped per request SSE streaming responses Logs PII-aware logging
Read Payslip case study
03 Payroll development · 2022–2026 Platform contributions

Enterprise Payroll Platform

Payroll features and platform upgrades.

Explore payroll features built with Java, Angular, and SQL, from loans and investments to NPS and variable pay. The work also covers calculation fixes, runtime upgrades, and production support.

Money BigDecimal migration 8 wk NPS V3 delivery JDK 17 platform modernization

Contributions to the wider payroll platform.

Read Payroll case study
04 AI research · IIT Kharagpur · 2021–2022 IIT Kharagpur research

Deep Learning Research

Meta-analysis and custom deep learning models.

Explore meta-analysis and custom deep learning models developed at IIT Kharagpur, including AlexNet, ResNet, and autoencoder comparisons using satellite radar data.

CNN architecture comparison SAR Sentinel-1 imagery Training augmentation and transfer learning
Read Research case study
02 / Experience

Experience.

Follow the progression from full-stack development to AI engineering and organisation-wide adoption.

Professional experience5 years 2 monthssince June 2021
May 2026 — Present
PeopleStrong

Software Development Engineer III

Building custom agent harnesses and internal tools, coordinating AI adoption across teams, and improving AI usage efficiency. Responsibilities include ATR’s agents, team workspaces, and review workflows.

Agent harnessesTypeScriptOpenCode SDKPostgreSQLMCPObservability
Nov 2024 — Apr 2026
PeopleStrong

Software Development Engineer II

Built the Payslip Agent for retrieval, explanations, and tax calculations, with streaming responses, request-scoped identity, and MCP tools.

GeminiLangChainFastAPIRedisElasticsearchJDK 17
Jul 2022 — Nov 2024
PeopleStrong

Software Development Engineer

Built payroll features across loans, Investment V3, NPS V3, BRE, CTC, Variable Pay, and FBP, from database and service logic to APIs and Angular screens.

Java EEAngularHibernateSQL ServerRESTWorkflow
Jan 2022 — Jul 2022
PeopleStrong

Software Engineer Intern

Built loan configuration, EMI and eligibility rules, approval workflows, and employee portals. The internship led to a pre-placement offer.

JavaAngularPayroll
Jun 2021 — Jan 2022
IIT Kharagpur

Research Intern — Artificial Intelligence

Worked on meta-analysis and custom deep learning models under Prof. Debashish Chakravarty, using Sentinel-1 SAR and PSInSAR data. The classification experiments reported 90%+ accuracy.

PyTorchCNNsRemote sensingResearch
03 / Stack

Explore the tech stack.

Browse the languages, frameworks, and infrastructure behind the projects.

01AI & toolsreasoning layer

AI agents and tools.

See how agents, retrieval, and MCP tools connect AI workflows to existing services.

INCLUDEStool contracts · evidence retrieval · agent state · evaluation · guarded actions
OpenAIGeminiAgent runtimesMCPRAGKnowledge graphsEvaluation
02APIs & interfacesproduct layer

APIs and interfaces.

Follow the path from FastAPI and Java services to REST APIs and Angular interfaces.

FOCUSClear errors and enough context to fix them.
TypeScriptPythonJavaFastAPIExpressAngularReactRESTSSE
03Data & statememory layer

Databases and sessions.

Explore how request identity, Redis sessions, saved investigations, and product records are stored with separate ownership and expiry rules.

PostgreSQLSQL ServerRedisElasticsearchGraph contextObject storage
04Deployment & monitoringproduction layer

Deployment and monitoring.

See how containers, CI pipelines, logs, and monitoring support deployment and production investigations.

FOCUSLogs and recovery steps that another engineer can use.
DockerKubernetesGitHub ActionsGrafanaNew RelicPrometheusLoki
FOR YOUR TEAM

AI development and adoption.

01

Custom agent harnesses

Connect your models, tools, and workflows in a custom agent runtime.

02

Internal tools

Give your engineers tools to investigate issues and automate repetitive work.

03

AI adoption

Help your teams get set up and use AI in their day-to-day work.

04

Usage efficiency

Track usage, cost, and response times to choose the right models for your workloads.

04 / About

About Khalid.

Applied AI Engineer and SDE III at PeopleStrong, based in Gurugram, India.

You’ll find a background in full-stack development with Java, Angular, and SQL, followed by work on AI agents, internal tooling, and adoption across teams.

Earlier research at IIT Kharagpur covered meta-analysis and custom deep learning models using satellite radar data.

BasedGurugram, India
EducationB.Tech EEE · Minor in Data Analytics · KIIT
Current focusAgent harnesses · internal tools · AI adoption
RÉSUMÉ

Explore the résumé.

Choose one page for a summary or two pages for more detail.

Applied AI résumé1 page ↓ Applied AI résumé2 pages ↓
05 / Contact

Applied AI · Engineering · Systems

Hard system problems are worth a conversation.

khalidnajam7@gmail.com↗
GitHub ↗ LinkedIn ↗
Gurugram, India · IST