Hemanth Reddy | New York, NY | MS Computer & Information Sciences @ NYU (May 2026)
Software engineer building systems in Java, Python, C++, and TypeScript.
Backends, cloud pipelines, and ML tooling. Paytm microservices, EchoStar AWS tooling, and projects across RAG, agents, and finetuning. I like shipping things that stay reliable.
Languages
Java · Python · C++ · TS
Education
MS CIS, NYU
Focus
Systems · Cloud · Backend
Profile snapshot
Software Engineer
MS in Computer and Information Sciences @ NYU (3.97/4). Former Paytm SDE with internship experience at EchoStar. See experience below for details.
Stack
Java · Python · C++ · TS
Building
Systems · Cloud · Backend
// Experience
Industry experience across backend, cloud, and production systems.
Software Systems Engineering Intern
- Architected an event driven, SFTP based drone data ingestion pipeline using Python and AWS (Transfer Family, S3, Lambda, EventBridge, SQS) provisioned via IaC, achieving 99.9% upload reliability and a projected 97% cost reduction ($7.3M/yr) by migrating away from third party services.
- Managed full SDLC to automate 2D to 3D photogrammetry workflows and delivered a full stack Cesium 3D Tiles viewer using React, TypeScript, Spring Boot, and PostgreSQL in web application services.
- Engineered a Bedrock summarizer that reduced incident response time by 40% by providing key telemetry insights and root cause analysis in natural language.
Software Development Engineer (5 Mo Intern + 2 Yr FTE)
- Led backend development for ONDC compliant order and cart services, scaling from launch to 1M+ orders and onboarding 5,000+ merchants using Spring Boot and Node.js microservices.
- Designed a hybrid API architecture integrating Webhooks for ONDC APIs, using gRPC for low latency inter service communication and GraphQL for efficient data aggregation, ensuring compliance with SOA standards and OAuth security.
- Drove technical decision making across 10+ microservices through 50+ design and code reviews per quarter, identifying critical concurrency and data integrity issues before production.
- Architected a daily supply chain catalog ingestion flow for 200,000+ merchants and built Merchant and Catalog Rejection Reporting by logging rejection signals to Hive and surfacing clear reasons, reducing seller support tickets by 60%.
- Designed Multicart to manage last 10 carts per category, then dropped API latency 40% with Redis caching and Kafka async pipelines.
- Cut cart error rates 75% through SQL query optimization, deadlock fixes, and clearer error messages to downstream sellers.
- Enabled zero downtime deployments for 10+ microservices improving efficiency by 15% using Jenkins, Docker, Kubernetes, and Spring Cloud.
- Achieved 95%+ code coverage and improved system reliability by driving TDD/BDD Unit testing suites using JUnit/Mockito, alongside comprehensive load testing for performance validation.
- Executed EC2 migration to Graviton ARM based processors for most microservices, lowering cloud operational costs by 20%.
- Improved observability with Prometheus, Grafana, and Kibana dashboards, cutting false alerts by 40% and speeding up root cause analysis by 2x.
// Projects
Projects that show how I build.
CliniPulse: Secure Medical Document Intelligence
Built a HIPAA compliant medical document ingestion pipeline with PDF validation and PostgreSQL metadata tracking, deploying Llama 70B inference on Azure VMs with AES-256 encrypted Blob Storage so PHI stays in the controlled Azure environment and is not sent to third party LLM APIs. Implemented grounded RAG with document chunking, ChromaDB vector search, and Spring AI, cutting medical report generation from 30 minutes to under 2 minutes while returning source document names for auditability. Secured APIs with Spring Security OAuth 2.0 Resource Server, JWT validation, clinician/admin role scopes, and PHI aware prompting.
ATS Recruiting Portal
Designed a scalable backend with layered Controller Service Repository architecture and DTO isolation via MapStruct for end to end candidate and recruiter workflows, including application tracking and hiring stages. Secured REST APIs with stateless JWT RBAC, BCrypt hashing, recruiter ownership checks, and duplicate application prevention. Optimized high traffic job discovery using Pageable pagination, JPA Specifications, PostgreSQL indexes, and Elasticsearch full text search, eliminating N+1 reads and cutting list latency by 60%.
Multi-Agent A2A Travel Orchestrator
Architected a Multi Agent System connecting LangChain, CrewAI, and AutoGen via an A2A JSON-RPC protocol with discoverable agent cards and structured messages, reducing complex itinerary planning time by 90%. Orchestrated an autonomous negotiation flow between a travel filtering agent, a budget versus experience crew, and a code writing agent that generates dynamic Plotly cost charts with zero human intervention. Shipped provider agnostic model configuration, per request timeouts, Docker deployment, and a Streamlit front end that surfaces each agent’s output and charts in a single traceable planning pipeline.
NSF-Funded: Real-Time Smart Grid Platform
Built a real time grid monitoring platform streaming voltage, active power, and reactive power telemetry through WebSockets at two second intervals for live electrical network observability. Developed interactive D3.js visualizations for 50+ network nodes, featuring voltage health coloring, directional power flow, line loading, waveform trends, timestamp navigation, and node level inspection. Designed a dual layer backend integrating TimescaleDB with Spring Data JPA for high throughput time series storage, supporting granular historical aggregation, date range analysis, and secure CSV exports via REST APIs.
// Skills
A toolkit built for speed and clarity.
Languages
Toolkit
Python
C++
Java
TypeScript
JavaScriptSQLSQLSHShellFrameworks & Distributed
Toolkit
Spring Boot
PyTorch
FastAPI
ReactAPIREST APIsgRPCgRPC
GraphQLMSMicroservices
Kafka
RedisWSWebSocketsDatabases
Toolkit
PostgreSQL
MySQL
MongoDB
ElasticsearchTSTimescaleDBCloud & DevOps
Toolkit
AWS
EC2
S3
Lambda
CloudWatch
GCP
Docker
KubernetesCICI/CD
Jenkins
TerraformML
ToolkitPyTorchL3LLaMA 3
LangChainRRAGBedrockTools
Toolkit
JIRA
Git
Postman
Prometheus
Grafana
KibanaJUJUnit// Education
Academic foundation with a strong CS focus.
Sep 2024 to May 2026
Master of Science, Computer and Information Sciences
New York University, New York, NY
Graduate Research Assistant · NYU Stern and UC Davis Collab · NYU Tandon
Jul 2018 to Jun 2022
Bachelor of Technology, Computer Science and Engineering
Indian Institute of Technology (IIT) Dharwad, Karnataka, India