Vetted Software Engineers in Indiana

Antara Bhavsar

Mid-level Software Engineer specializing in cloud-native systems and Android development

Bloomington, IN3y exp

JavaPythonKotlinTypeScriptJavaScriptNode.js+108

“Application-focused software engineer with experience at Amazon and Motorola shipping production systems ranging from developer monitoring/on-call tooling (Alcazar, ~40% MTTR improvement) to consumer AI features used by 100K+ users. Currently building an AI/ML-driven platform with a Python/FastAPI backend on AWS (ECS/RDS/S3) and has handled real production latency/scaling incidents end-to-end.”

Elevance HealthRider University

Thomas Lee

Staff Software Engineer specializing in Healthcare Platforms and Observability

Indianapolis, IN11y exp

AgileAgile/ScrumAES-256 encryptionAI chatbotsAngularApache Kafka+106

Project 990Indiana University

Vishakha Dikshit

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and document intelligence

Bloomington, IN5y exp

PythonCC++JavaTypeScriptJavaScript+72

TypeScriptJavaScriptJavaRustBashPython+31

Nathan Givens

Mid-Level Software Engineer specializing in workflow automation platforms

Fort Wayne, IN6y exp

IndeedPurdue University

Anooshka Bajaj

Indiana University BloomingtonIndiana University Bloomington

Junior Data Scientist and ML Researcher specializing in Transformers, multimodal AI, and autonomy

Bloomington, IN2y exp

“Autonomous robotics student who built an end-to-end ROS2 semantic goal navigation system as a solo course project, integrating CLIP-based vision-language understanding with SLAM Toolbox and Nav2 to execute natural-language commands in Gazebo/RViz. Also implemented and tuned an RRT planner from scratch in Python and uses Docker plus GitHub workflows for reproducible, tested robotics codebases.”

PythonC++ROSROS 2RVizGazebo+86

Ujwal Jibhkate

IBMIndiana University Bloomington

Junior AI Software Engineer specializing in GenAI and full-stack ML deployment

Bloomington, IN2y exp

“Backend/Founding-Engineer-style builder who architected AESOP, a multi-agent distributed platform for biomedical literature evidence synthesis. Implemented an async FastAPI stack on AWS with LangGraph orchestration, Redis/Postgres+pgvector, and Celery-based background processing, plus defense-in-depth security (JWT refresh/rotation and DB-level isolation). Notable for hardening LLM workflows with multi-layer validation and convergence safeguards to prevent hallucinations and infinite agent loops.”

AIAPI DevelopmentApplied Machine LearningAsynchronous ProgrammingAuditing FrameworksAWS+100

IntuitIndiana State University

Yaswanth Marneni

Mid-Level Software Development Engineer specializing in cloud-native microservices

Indiana, USA3y exp

AgileAI-Assisted Code GenerationAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon EKS+84

Purdue UniversityPurdue University

Renhong Zhang

Mid-level Robotics & AI Engineer specializing in Reinforcement Learning and Sim-to-Real

West Lafayette, IN2y exp

4-bit inferenceAerodynamics modelingAPI integrationAuto-tuningBimanual manipulationBracket checking+92

UnitedHealth GroupSacred Heart University

Sonika Koganti

Senior Data Scientist specializing in machine learning and cloud analytics

Westfield, IN7y exp

A/B TestingAgileAirflowAPI IntegrationAWSAWS EC2+74

Heartland Community NetworkIndiana University Bloomington

Madhughnea Sai Adabala

Junior Full-Stack Software Engineer specializing in cloud, data, and GenAI tooling

Bloomington, USA1y exp

Agentic WorkflowsAngularAPI Health MonitoringAsynchronous WorkflowsAudit LoggingAWS Lambda+75

ChewyTexas Tech University

Tarunkumar Bellam

Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and React

Columbus, IN6y exp

JavaJava 11TypeScriptJavaScriptHTMLHTML5+77

Kentucky Farm Bureau InsuranceAuburn University at Montgomery

Swetha Pinninti

Senior Java Full-Stack Developer specializing in microservices and cloud platforms

Charlestown, IN7y exp

AgileAgile/ScrumAngularAngular 12+Angular 2+Ansible+70

Susheel Thimlapur

Bloomington, Indiana4y exp

Mid-Level Full-Stack Software Engineer specializing in React, Node.js, and AWS

PythonJavaScriptTypeScriptJavaMySQLPostgreSQL+63

“Software developer at Indiana University who built a phishing training platform using TypeScript/React, Node, GraphQL, and DynamoDB, including an admin tool to monitor student completion and send automated reminder emails. Also created TechRent, an IU-only electronics rental marketplace concept focused on improving security by restricting access to university students.”

Suhaas Badada

Junior Full-Stack Software Engineer specializing in APIs, data platforms, and LLM applications

Indianapolis, IN1y exp

AgileAngularASP.NET MVCASP.NET Web APIAuthenticationAutomation pipelines+48

Elevance HealthUniversity of North Texas

Haritha Talupula

Mid-Level Full-Stack Software Engineer specializing in Java/.NET and cloud-native web apps

Indianapolis, IN5y exp

JavaC#PythonJavaScriptSQLPL/SQL+78

JavaJavaScriptTypeScriptBashShellC#+105

Vinay Reddy Alugubelli

Mid-level Java Full-Stack Developer specializing in cloud-native microservices

Fort Wayne, IN4y exp

Wells FargoIndiana Tech

The University of ArizonaIndiana University Bloomington

Shambhavi Arvind Shukla

Mid-Level Software Engineer specializing in full-stack development and cloud platforms

Indianapolis, IN5y exp

PythonJavaJavaScriptSQLPL/SQLBash+63

Purdue University NorthwestPurdue University Northwest

Rahman Mohammad

Mid-Level Full-Stack Developer specializing in MERN and AR/VR applications

Indiana, USA4y exp

A/B TestingAccessibility (WCAG)Adobe Creative SuiteAdobe TargetAdobe XDAfter Effects+111

Abhishek Ingle

Junior Full-Stack & AI Software Engineer specializing in React/Next.js and LLM systems

Bloomington, IN2y exp

PythonTypeScriptJavaScript (ES6+)SQLT-SQLBash+151

“Backend engineer with hands-on experience building low-latency, high-concurrency real-time chat on AWS (Node.js/Socket.IO/MongoDB) and improving reliability under unstable networks, contributing to ~40% user adoption growth. Also built FastAPI-based AI assistant context retrieval (RAG) APIs with embeddings/vector search, and has strong production experience in rate-limit handling, async refactors with safe rollout, and Supabase Auth/RLS optimization.”