Vetted Performance Tuning Professionals

Pre-screened and vetted.

AM

Senior Full-Stack Engineer specializing in Python, cloud-native systems, and LLM applications

Remote14y exp
IntelUniversity of Miami
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Harsh Jeripothula - Mid-level Software Engineer specializing in backend systems and cloud-native AI platforms in Santa Clara, CA

Mid-level Software Engineer specializing in backend systems and cloud-native AI platforms

Santa Clara, CA5y exp
HoneywellSan Jose State University
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SD

Mid-level Software Engineer specializing in full-stack FinTech platforms

USA7y exp
IntuitRivier University
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JL

Senior .NET Full-Stack Engineer specializing in healthcare cloud platforms

Wesley Chapel, FL9y exp
Mayo ClinicUniversity of South Florida
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SP

Junior Robotics & Controls Engineer specializing in state estimation, simulation, and ROS2

Tucson, AZ1y exp
PTCNortheastern University
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GN

Mid-level Data Engineer specializing in cloud-native ETL and data warehousing

Remote, USA4y exp
PayPalLamar University
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PK

Senior Full-Stack Software Engineer specializing in cloud microservices and GenAI

USA8y exp
DoorDashSUNY
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MH

Senior Full-Stack Developer specializing in Python, AWS, and data/ETL systems

Corona, CA8y exp
KirusoftBoston University
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MN

Senior Software Engineer specializing in Healthcare IT platforms

Lawrenceville, GA11y exp
One MedicalTufts University
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SP

Mid-level Full-Stack Software Engineer specializing in FinTech

Dallas, TX5y exp
Goldman SachsUniversity of Utah
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JP

Senior Backend Engineer specializing in FinTech compliance systems

Kyle, TX10y exp
Leader BankTexas Tech University
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HZ

Harvey Zhang

Screened ReferencesModerate rec.

Staff Platform Engineer specializing in healthcare systems and observability

Buffalo Grove, IL24y exp
CVS HealthNorthern Illinois University

Hands-on production engineer with deep Oracle tuning and observability-driven troubleshooting experience in a 24x7 healthcare system used by pharmacists across the U.S. While not yet hands-on with GCP databases, they bring strong transferable cloud and platform experience from AWS/Azure, including migration work, memory leak remediation, HA/DR operations, and end-to-end performance debugging across DB, JVM, and network layers.

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MG

Senior AIX/Unix Infrastructure Engineer specializing in IBM Power and enterprise migrations

Hilliard, OH15y exp
American GreetingsBangalore University

AIX/Solaris and IBM Power specialist who has led real-time performance recoveries for core banking/ERP workloads—diagnosing CPU/IO contention down to FC queue depth and LPAR sizing, restoring latency from 5s to 200ms. Experienced with POWER7/8/9 operations across HMC/VIOS/NPIV and live DLPAR resizing, plus legacy Solaris SPARC to RHEL x86 hybrid re-platform migrations with post-cutover Oracle performance considerations.

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Mounika Gunturu - Senior Python Full-Stack Developer specializing in cloud-native microservices and data platforms in New York, NY

Senior Python Full-Stack Developer specializing in cloud-native microservices and data platforms

New York, NY9y exp
Oliver WymanNarayanamma Institute of Technology and Science

Backend/data engineer from Oliver Wyman who built and ran production Python (FastAPI) services on AWS (ECS/Lambda/API Gateway) supporting risk modeling and regulatory reporting. Strong in reliability/observability, Glue-based ETL with data quality controls, and legacy SAS-to-Python modernization with rigorous parity validation; also demonstrated measurable SQL performance wins and cost-control improvements in serverless scaling. Based in Raleigh, NC and can travel onsite for important Bethesda-area meetings.

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Swathi Sankaran - Senior Python Full-Stack Developer specializing in cloud, data engineering, and ML/GenAI in New York, NY

Senior Python Full-Stack Developer specializing in cloud, data engineering, and ML/GenAI

New York, NY10y exp
East West BankJawaharlal Nehru Technological University

Backend/data engineer with hands-on production experience building FastAPI services on AWS and implementing strong reliability/observability (CloudWatch, ELK, correlation IDs, alarms). Has delivered serverless + container solutions with IaC (CloudFormation/Terraform) and Jenkins CI/CD, and built AWS Glue/PySpark pipelines into S3/Redshift with schema-evolution and data-quality safeguards; demonstrated large-scale SQL tuning (45 min to 3 min on a 500M-row workload).

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Allan Farinas - Senior Full-Stack Software Engineer specializing in Python and AWS in West Covina, CA

Allan Farinas

Screened

Senior Full-Stack Software Engineer specializing in Python and AWS

West Covina, CA11y exp
CareRevCal Poly Pomona

Backend/data engineer who has built production Python microservices (FastAPI) and AWS-native platforms for event ingestion and analytics, combining ECS/Fargate + Lambda with CloudFormation-driven environments and strong secrets/IAM practices. Experienced modernizing legacy logic with parallel-run parity validation and safe phased cutovers, and has demonstrated measurable SQL tuning wins (20–30s down to 1–2s) plus incident ownership in Glue/Step Functions ETL pipelines.

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SaiTeasmitha Kaja - Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot and cloud microservices in Houston, TX

Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot and cloud microservices

Houston, TX4y exp
HPEUniversity of Houston

Backend-focused Python/Flask engineer who has built authentication/profile services with clean modular architecture (blueprints + service layer) and tuned SQLAlchemy/Postgres for scale using indexing, query rewrites, and pagination. Has production-style integration experience for AI/ML via TensorFlow Serving and OpenAI APIs (batching, rate limiting, caching), plus multi-tenant data isolation and high-throughput background processing with Celery/Redis and idempotent jobs.

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Supreetha Kashyap - Mid-Level Software Engineer & Data Analyst specializing in cloud analytics and BI in Jacksonville, FL

Mid-Level Software Engineer & Data Analyst specializing in cloud analytics and BI

Jacksonville, FL4y exp
Johnson & JohnsonUniversity of Texas at Arlington

Built and owned an end-to-end Seat Allocation & Management System at Accenture, replacing a legacy process with a scalable web app used across teams. Deep focus on reliability under concurrency (transactions + unique constraints + idempotent APIs) and on Postgres performance tuning (composite indexes, EXPLAIN ANALYZE), plus post-launch production support and monitoring.

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