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SUNNY ANIL KHANORKAR

SOFTWARE ENGINEER // AI · BACKEND
McLean, VA 4+ Years Experience GE HealthCare
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ABOUT

Software Engineer with 4+ years of backend and full-stack experience in healthcare technology, specializing in Python microservices, REST APIs, and agentic AI systems.

Proven track record building high-throughput clinical data pipelines, ML-integrated workflows, and cloud-native infrastructure on AWS and GCP. Currently architecting GenAI/agentic solutions at GE HealthCare — building multi-agent platforms that reduce radiologist review time and serve 500K+ monthly inference requests.

sunnykhanorkar22@gmail.com 571-347-0496 McLean, VA
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YEARS EXPERIENCE
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MONTHLY REQUESTS
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PORTAL USERS SERVED
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EXPERIENCE

Software Engineer — AI/Backend (Agentic AI)

GE HEALTHCARE
JAN 2025 — PRESENT
  • Architected multi-agent agentic AI platform using LangGraph + AutoGen — reduced radiologist review time by 38% across 3 hospital integrations
  • Built Python microservices on AWS EKS serving 500K+ monthly inference requests with p99 latency under 180ms; Kubernetes HPA auto-scaled during peak loads
  • Designed RAG pipeline over 2M+ clinical documents using Elasticsearch + OpenAI embeddings — query time from 14s → 1.8s
  • Engineered LLM orchestration via LangChain tool-calling across 6 FHIR-compliant EHR APIs, eliminating 4 manual integration touchpoints
  • Implemented real-time event streaming via Apache Kafka feeding agentic decision loops with live patient vitals
  • Deployed Terraform IaC across AWS dev/staging/prod — environment provisioning from 3 days → 45 minutes
LangGraphAutoGenAWS EKSKafkaRAGTerraformDatadog

Software Development Engineer II

FORTIS HEALTHCARE
APR 2021 — JUL 2023
  • Owned backend architecture for patient portal serving 1.2M+ registered users — migrated monolith to 11 Python FastAPI microservices on AWS
  • Designed event-driven appointment scheduling engine using AWS SQS + Celery, processing 80K+ bookings/day with zero message loss across 28 hospitals
  • Built real-time clinical data pipeline (Kafka + Spark Streaming) — report delivery latency from 40 min → under 3 min
  • Integrated fraud detection ML model (scikit-learn gradient boosting) flagging 94% of duplicate insurance claims — saving ~$1.2M annually
  • Led PostgreSQL schema redesign with partitioning and composite indexing — cutting query time by 62% on a 500M-row table
  • Mentored 3 junior engineers; team unit test coverage rose from 41% → 87% over 6 months
FastAPIAWS SQSCelerySparkPostgreSQLDockerGitHub Actions

Associate Software Developer

HEALTHPLIZ
FEB 2020 — MAR 2021
  • Developed 35+ REST API endpoints in Python (Django REST Framework) for patient onboarding, teleconsultation, and pharmacy ordering — 15K+ daily active users at launch
  • Built full-stack telemedicine module (Django + React + WebRTC) — reducing no-show rate by 27%
  • Deployed Django to AWS EC2 behind ALB with auto-scaling — sustained 99.7% uptime during 4x COVID-19 traffic spike
  • Implemented Redis caching layer — reduced DB read load by 55%, API response time from 420ms → 90ms
  • Integrated Razorpay + Stripe with webhook reconciliation — processing INR 8M+ monthly transactions at <0.1% failure rate
DjangoReactWebRTCRedisAWS EC2Stripe
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SKILLS

▶ LANGUAGES

Python
95
JavaScript / TypeScript
80
Java
72
SQL / Bash
88

▶ FRAMEWORKS

FastAPI / Flask / Django
93
LangChain / LangGraph
88
React / Node.js
75
gRPC / GraphQL
70

▶ AI / ML

Agentic AI / RAG Pipelines
90
OpenAI APIs / LLM Fine-Tuning
85
Vector DBs (FAISS / Pinecone)
82
scikit-learn / TensorFlow
75

▶ CLOUD / DEVOPS

AWS (EKS / SQS / Lambda)
90
Docker / Kubernetes
87
Terraform / CI/CD
82
GCP / Kafka / Spark
78
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PROJECTS

◈ SECURITY RESEARCH

Security in Direction Finding

Virginia Tech + Boeing  ·  Aug 2023 — May 2024

Engineered secure IoT communication protocols for direction-finding hardware. Implemented TLS 1.3, ABE (Attribute-Based Encryption), and Shamir's Secret Sharing on Raspberry Pi + Nordic BLE/UWB boards — achieving 25% improvement in data integrity metrics.

C/C++PythonTLS 1.3ABEBLE/UWBRaspberry Pi
◈ SECURITY RESEARCH

Counter-Fuzzing & Exploit Detection Framework

Virginia Tech  ·  Jan 2025 — May 2025

Built an anti-fuzzing platform using AFL++ instrumentation to detect and counter automated exploit discovery. Features code coverage analysis, runtime monitoring, delayed-execution detection, and interactive dashboards — 20% enhancement in code coverage.

CPythonAFL++InstrumentationDashboards
◈ AGENTIC AI

Multi-Agent Radiology Triage Platform

GE HealthCare  ·  2025

Multi-agent AI platform using LangGraph + AutoGen automating radiology report triage — 38% reduction in radiologist review time across 3 hospital integrations with real-time Kafka event streaming and Kubernetes HPA.

LangGraphAutoGenKafkaAWS EKS
◈ RAG PIPELINE

Clinical Document RAG Pipeline

GE HealthCare  ·  2025

RAG pipeline over 2M+ clinical documents using Elasticsearch + OpenAI embeddings — query time from 14s to 1.8s. LLM orchestration via LangChain tool-calling across 6 FHIR-compliant EHR APIs.

RAGElasticsearchLangChainOpenAI
◈ MICROSERVICES

Patient Portal Microservices Migration

Fortis Healthcare  ·  2021 — 2023

Led migration of monolithic patient portal (1.2M+ users) to 11 FastAPI microservices on AWS. Event-driven scheduling (SQS + Celery) processes 80K+ bookings/day across 28 hospitals with zero message loss.

FastAPIAWSCeleryPostgreSQL
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EDUCATION

VT

Virginia Tech

Master of Engineering in Computer Engineering

Aug 2023 — May 2025  ·  Alexandria, VA  ·  GPA 3.83

NU

Nagpur University

Bachelor of Engineering in Computer Science

Jun 2018 — Jul 2022  ·  Nagpur, India  ·  GPA 9.52

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CONTACT

TARGET ACQUIRED

Available for full-time roles in Backend Engineering, AI/ML Systems, and Cloud Architecture.

✉ sunnykhanorkar22@gmail.com ◈ 571-347-0496 in LinkedIn gh GitHub