Himanshu Pant

Himanshu Pant

I build things
that scale.

Software Engineer with 5+ years in data & backend engineering. Currently pursuing my M.S. in Software Engineering (AI Specialization) at ASU and working as a Backend & AI Developer at MyEdMaster, building agentic AI systems with deep personalization.

Get in Touch Resume
Open to opportunitiesTempe, AZhimanshupant.dev

About

Engineer at heart.

I've spent 5+ years designing backend systems, data pipelines, and distributed architectures across healthcare, sports analytics, insurance, and banking. Now I'm sharpening that foundation with an M.S. focused on AI at ASU.

Currently interning at MyEdMaster, a US-based company (Virginia), as a Backend & AI Developer — building an Agentic RAG system with deep personalization that provides accessible legal guidance. Because everyone deserves answers, not just those who can afford a lawyer.

🏥 Healthcare⚽ Sports Analytics🏦 Insurance & Banking📊 Retention & Segmentation
5+
Years Experience
M.S.
Software Engineering (AI) — ASU

Tech I work with

Languages
PythonSQLJavaScriptPySpark
Data & ML
Apache SparkDatabricksAirflowLangChainSnowflakeGreat Expectations
Cloud & Infra
AWS (EMR, S3, Lambda, SQS, ECR)AzureDockerJenkinsCI/CD
Frontend
ReactNext.jsNode.jsHTML/CSS
Databases
PostgreSQLSQL ServerOracleNoSQLVector DBs
Tools
GitPower BIStreamlitJira

Achievements

Highlights.

🏆

DEVLABS Hackathon — 1st Place

Won with MeetFlow — intelligent task orchestration converting meeting transcripts into capacity-aware ticket assignments using LLM-powered analysis.

🏆

HackASU — FairCharge

Built a medical bill audit pipeline at HackASU that uses Claude Vision + SapBERT to detect overcharges, flagging $1,300+ in average billing errors per hospital bill.

🏅

SPOT Award — Exceptional Delivery

Recognized at Super Six Sports Gaming for exceptional delivery and cross-team collaboration on critical product features.

🎓

M.S. Software Engineering (AI)

Pursuing AI specialization at Arizona State University — researching agentic RAG systems and multi-agent architectures.

Experience

Where I've worked.

Backend & AI Developer — Internship

MyEdMaster

US-based EdTech Company (Virginia)

CurrentJan 2025 – Present Legal Tech / AI

Remote

  • Building an Agentic RAG system with deep personalization that provides accessible legal guidance for underserved users who cannot afford traditional counsel
  • Designed multi-agent pipeline where specialized agents collaborate independently — handling query refinement, document retrieval, and response generation
  • Architecting backend infrastructure and an interactive interface that helps users understand their legal options with confidence
PythonLangChainVector DBMulti-Agent SystemsLLMRAG

Consultant II — Analytics (Data Engineer)

EXL

Jul 2023 – Mar 2024 Insurance

Gurugram, India · Remote

  • Cut PySpark ETL processing time by 66% (90 min → 30 min) on AWS EMR for insurance reporting stakeholders
  • Built automated data validation with Great Expectations across 5 insurance data sources, catching quality issues before downstream models
  • Orchestrated end-to-end Airflow workflows integrating APIs, databases, and S3 for underwriting ML models
  • Implemented CI/CD pipelines (Jenkins + Bitbucket) to streamline releases and reduce deployment friction
PySparkAWS EMRAirflowSnowflakeGreat ExpectationsJenkins

Data Engineer

Super Six Sports Gaming

Aug 2022 – Jul 2023 Sports Analytics

Gurugram, India · On-site

  • Designed and built the entire data infrastructure from scratch — data models, ingestion pipelines, and processing layers — serving as the foundation for all analytics and ML workloads
  • Developed and deployed a churn prediction model for new users, directly reducing churn and driving measurable improvements in retention and revenue
  • Built end-to-end pipelines (Python, PySpark, SQL) ingesting semi-structured data from APIs, logs, and NoSQL sources at scale
  • Automated data validation, monitoring, and unit testing frameworks, improving quality and reliability across the full pipeline
PythonPySparkSQLNoSQLMachine LearningData Modeling

Associate Data Engineer

Futurense Technologies

Oct 2021 – Jul 2022 Healthcare

Bangalore, India · Remote

  • Led migration of 50 legacy SAS batch workflows to Spark on Azure Databricks for financial services clients
  • Cut runtime from 6 hours to under 50 minutes (86% reduction) via partitioning, caching, and broadcast joins
  • Delivered zero-data-loss transition across all 50 workflows, resolving schema mismatches and validation gaps
  • Built automated data quality checks and transformation pipelines for downstream ML and reporting
Azure DatabricksApache SparkPySparkSASSQLS3

Executive Analyst

Koron Projects Limited

Oct 2018 – Jul 2021 Construction & Infrastructure

Gurugram, India · On-site

  • Built 15 Power BI dashboards providing real-time visibility across $50M+ in annual construction projects
  • Automated monthly reporting, replacing manual Excel workflows and saving 20 hours/month for finance stakeholders
  • Designed KPI dashboards tracking 50+ active projects, enabling leadership to identify delays and make faster decisions
Power BISQL ServerOraclePythonExcel

Projects

Selected work.

FairChargeHackathon

Solo builder — HackASU Claude AI Builder Hackathon

A medical bill audit pipeline that reads your bill, identifies every charge, benchmarks against real CMS Medicare pricing data for your state, detects overcharges and billing violations, and generates a ready-to-send dispute letter. Built to fight the information asymmetry where 49–80% of medical bills contain errors.

Bill Upload & Analysis
Bill Upload & Analysis
1 / 3
PythonClaude VisionSapBERTChromaDBSQLiteStreamlitCMS Data
Code
MeetFlowHackathon Winner

Led the LLM pipeline & orchestration layer

Intelligent task orchestration that converts meeting transcripts into actionable tickets. Analyzes via GPT-4o-mini, checks team capacity through Taiga, recommends smart reassignment for overloaded members, and notifies via Slack.

Agent 1: Transcript Analysis
Agent 1: Transcript Analysis
1 / 3
PythonStreamlitOpenAITaiga APISlack
Code
Serverless Face RecognitionAcademic

A serverless, multistage face recognition system using edge computing. IoT clients send video frames processed through decoupled detection and recognition stages via event-driven architecture — scalable, real-time identification without persistent servers.

AWS LambdaSQSECRDockerPyTorchOpenCVEdge Computing
LifeSyncLive

Full-stack productivity platform with Google OAuth, Focus Score tracking, daily task management, Pomodoro timer, and motivational micro-challenges.

Focus Score Dashboard
Focus Score Dashboard
1 / 2
ReactNode.jsGoogle OAuthREST API
Live
The Pause ButtonLive

A developer wellness app with mixable ambient soundscapes, 10+ casual mini-games, and a calming UI — because even builders need a break.

Nature Sounds Mixer
Nature Sounds Mixer
1 / 2
ReactJavaScriptWeb Audio APICSS Animations
Live
Legal AI — Agentic RAGBuilding

Multi-agent system providing accessible legal guidance for those who can't afford a lawyer. Extensive query refinement via vector DB, specialized agents that collaborate independently.

PythonLangChainVector DBMulti-AgentLLM
Feature Store with Time TravelIndustry

Centralized Feature Store using Apache Iceberg with time-travel, enabling ML teams to train, test, and deploy from a single source of truth.

Apache IcebergSparkPythonML Infra
SAS to Spark MigrationIndustry

Migrated 50 legacy SAS workflows to Spark, cutting runtime from 6+ hours to under 50 minutes via partitioning, broadcast joins, and caching.

Apache SparkPySparkSASData Engineering

Get in Touch

Let's build something.

I'm looking for SWE, Backend Engineering, and Data Engineering roles. If you're building something interesting, I'd love to hear about it.

hpant.data@gmail.com linkedin.com/in/itshimanshup github.com/hpant5
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