Open to Software Engineer roles

Hemanth Reddy | New York, NY | MS Computer & Information Sciences @ NYU (May 2026)

Software engineer focused on scalable backend systems and GenAI.

2.5+ years at Paytm building high-scale ONDC microservices, plus a 2025 EchoStar internship delivering AWS pipelines, 3D visualization, and GenAI tooling. I love shipping fast, reliable products.

Education

MS CIS, NYU

Experience

2.5+ years

Focus

Backend + Cloud

Profile snapshot

Software Engineer

May 2026

MS in Computer and Information Sciences @ NYU (3.97/4). Former Paytm SDE with internship experience at EchoStar. See experience below for details.

Looking for

SWE roles

Strengths

Backend + GenAI

// Experience

Industry experience across backend, cloud, and GenAI.

2022 - now
EchoStar logo

Software Systems Engineering Intern

EchoStarDenver, Colorado, USA
Jun 2025 - Aug 2025
  • 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 Boost Mobile application services.
  • Engineered a GenAI summarizer using Amazon Bedrock that reduced incident response time by 40% by providing key telemetry insights and root cause analysis in natural language.
JavaSpring BootAWSReactTypeScriptPostgreSQLBedrockPython
Paytm logo

Software Development Engineer

PaytmNoida, India
Jan 2022 - Jun 2024
  • 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.
JavaSpring BootHibernateNode.jsKafkaRedisAWSPostgreSQLDockerKubernetes

// Projects

Projects that show how I build.

05 projects
01Personal

CliniPulse AI: On-Prem Cloud Medical RAG

Created a HIPAA compliant Spring Boot platform with secure PHI handling via Spring Security encryption and a RAG pipeline using Spring AI plus ChromaDB, slashing medical report generation from 30 minutes to under 2 minutes. Deployed LLM inference (Llama 70B) on Azure VMs (H100) with AES-256 encrypted Azure Blob Storage and containerized microservices using Docker.

JavaSpring BootSpring AIReactDockerAzure
CliniPulse AI: On-Prem Cloud Medical RAG
02Personal

LLM Fine Tuning Factory

Fine tuned 5 domain specific models (HR, Finance, Healthcare, Marketing, Sales) using Full, DPO, LoRA, and QLoRA on H100 GPUs, reducing inference costs and time by 70% vs proprietary APIs, served via an OpenAI compatible FastAPI backend on GCP. Built open-source MCP automation tools integrating Gmail and MySQL for subscription tracking (accepted to Glama ecosystem), reducing subscription spend by 25%.

PythonPyTorchPEFTLoRAQLoRAFastAPIDocker
LLM Fine Tuning Factory
03Personal

ATS Recruiting Portal

Designed a scalable backend with layered Controller Service Repository architecture, DTO isolation via MapStruct, ACID guarantees, and a React/TypeScript frontend for candidate and recruiter workflows. Secured REST APIs with Spring Security and JWT RBAC and optimized high traffic queries using Pageable pagination, JPA Specifications, and batch fetching to eliminate N+1 and cut list latency by about 60%, with React/TypeScript driven search via Elasticsearch.

JavaSpring Boot 3ReactTypeScriptSpring SecurityPostgreSQLDocker
ATS Recruiting Portal
04Personal

Multi-Agent A2A Travel Orchestrator

Architected a Multi-Agent System (MAS) connecting LangChain, LangGraph, CrewAI, and AutoGen via Agent-to-Agent (A2A) protocol, reducing complex itinerary planning time by 90% compared to manual research. Engineered an autonomous negotiation flow where agents debate budget vs. experience trade-offs, generating dynamic cost visualization charts via code-writing agents with zero human intervention.

PythonLangChainLangGraphCrewAIAutoGenOpenAIDockerStreamlit
Multi-Agent A2A Travel Orchestrator
05Research

NSF-Funded: Real-Time Smart Grid Platform

Built a real-time grid monitoring platform using Spring Boot and React/TypeScript, streaming voltage and power metrics via WebSockets at 2-second intervals to visualize 50+ nodes on interactive D3.js diagrams. Designed a dual-layer backend integrating TimescaleDB with Spring Data JPA for high-throughput time-series storage, supporting granular historical aggregation and secure CSV exports via REST APIs.

JavaSpring BootReactTypeScriptD3.jsTimescaleDBWebSockets
NSF-Funded: Real-Time Smart Grid Platform

// Skills

A toolkit built for speed and clarity.

Core stack

Languages

Toolkit
Java logoJavaPython logoPythonC++ logoC++JavaScript logoJavaScriptTypeScript logoTypeScriptSQLSQLSHShell

Frameworks & Distributed

Toolkit
Spring Boot logoSpring BootReact logoReactNode.js logoNode.jsHHibernateAPIREST APIsgRPCgRPCGraphQL logoGraphQLSDSystem DesignMSMicroservicesKafka logoKafkaRedis logoRedisWSWebSockets

Databases

Toolkit
PostgreSQL logoPostgreSQLMySQL logoMySQLMongoDB logoMongoDBElasticsearch logoElasticsearchTSTimescaleDB

Cloud & DevOps

Toolkit
AWS EC2 logoAWS EC2AWS S3 logoAWS S3AWS Lambda logoAWS LambdaCloudWatch logoCloudWatchGCP logoGCPDocker logoDockerKubernetes logoKubernetesCICI/CDJenkins logoJenkinsTerraform logoTerraformLinux logoLinux

AI / ML

Toolkit
PyTorch logoPyTorchL3LLaMA 3LangChain logoLangChainRRAGBedrock logoBedrock

Tools

Toolkit
JIRA logoJIRAGit logoGitPostman logoPostmanPrometheus logoPrometheusGrafana logoGrafanaKibana logoKibanaJUJUnit

// Education

Academic foundation with a strong CS focus.

CGPA highlighted

Sep 2024 - May 2026

Master of Science, Computer and Information Sciences

New York University, New York, NY

CGPA 3.97 / 4

Jul 2018 - Jun 2022

Bachelor of Technology, Computer Science and Engineering

Indian Institute of Technology (IIT) Dharwad, Karnataka, India

CGPA 3.7 / 4