Himanshu Maithani

Backend · Distributed Systems · AI Infrastructure

I build backend infrastructure for distributed systems and AI — data pipelines, cloud architectures, and agent networks. Previously SDE at Fidelity Investments and Research Intern at Samsung R&D. M.Sc. from NUS.

About

I'm a Software Engineer with experience building production systems at Fidelity Investments and Samsung R&D Bangalore. I recently completed a Master of Computing (Computer Science) at the National University of Singapore.

With 2+ years of experience at Fidelity Investments and Samsung R&D, I've built production backend services, data pipelines, and full-stack applications. My work spans microservices architecture (Spring Boot, FastAPI, Node.js), data engineering (Python, PySpark), and AI-integrated systems using multi-agent frameworks across AWS, Azure, and GKE.

I'm particularly interested in distributed systems, backend infrastructure, and applied AI — and actively looking for full-time opportunities.

Experience

SATS Ltd.

Technology Solutions Intern

May 2025 – Apr 2026

Singapore

  • Built workforce compliance platform (Python, PySpark, Delta Share) cutting manual oversight by 70% for 2,000+ employees via automated data workflows, real-time alerting, and Power BI dashboards; drove on-prem-to-Azure migration using Azure Functions and Microsoft Graph API to automate cross-system data synchronization
  • Built backend for a GCP-deployed internal operations platform (3,000–4,000 daily users): REST APIs for live cargo and flight data, auth, ground-handling workflow management, automated MAWB extraction from emails, and a RAG prototype for natural-language querying of operational data
PythonPySparkAzureGCPFastAPIRAG

Fidelity Investments

Software Development Engineer

Jan 2024 – Nov 2024

Chennai & Bangalore, India

Samsung R&D Institute India

Samsung PRISM R&D Intern

May 2023 – Nov 2023

Bangalore, India

Projects

Kiln

Kiln

Self-evolving AI tool registry that builds and hot-loads tools on demand.

Trade Nexus

Trade Nexus

Distributed trading platform with real-time pricing and portfolio management.

Why-Not Query Provenance

Why-Not Query Provenance

Explains why expected tuples are missing from SQL query results using provenance theory.

Loan Anomaly Detector

Loan Anomaly Detector

Unsupervised anomaly detection on 30K Freddie Mac loans — 155% improvement over baseline.

Telecom Churn Predictor

Predicts telecom customer churn with 0.821 F1-score using engineered features and XGBoost.

Skills

Languages

PythonTypeScriptJavaScriptJavaSQL

Frameworks

ReactNext.jsFastAPISpring BootNode.jsAngular

Data & AI

RAGPySparkMistralMCPAG2Delta Share

Cloud & Infrastructure

AWSDockerKubernetesGCPAzureTerraform

Databases

PostgreSQLRedisMongoDBMySQL

Tools

GitPrometheusGrafanaPower BI

Education

NUS

National University of Singapore

Master of Computing (Computer Science)

Jan 2025 – Aug 2026

Singapore

GPA3.85 / 5.0

Focus Areas

Distributed SystemsCloud InfrastructureDatabase EngineeringAI Systems
SRMIST

SRM Institute of Science and Technology

Bachelor of Technology in Computer Science Engineering

Sep 2020 – Jun 2024

Chennai, India

GPA9.48 / 10.0

Focus Areas

Data Structures & AlgorithmsOperating SystemsComputer NetworksDatabase Management Systems

Get in Touch

Interested in backend infrastructure, distributed systems, data platforms, and AI engineering. Open to full-time opportunities from mid-2026.