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Vetted CSS Professionals

Pre-screened and vetted.

CSSHTMLJavaScriptReactPythonDocker
SZ

Shidong Zhang

Intern Software Engineer specializing in systems, networking, and GPU computing

Santa Clara, CA2y exp
Arista NetworksUSC
Automated TestingCC++CUDADjangoGit+40
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SG

Srinidhi Garlapati

Mid-level Java Developer specializing in Spring Boot microservices (FinTech & Healthcare)

5y exp
PNCPace University
JavaJavaScriptTypeScriptSpring BootSpring MVCSpring Security+86
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SK

Shahil Kalebhai

Senior Product/UX Designer specializing in enterprise UX, AI, and modern interfaces

Santa Clara, California8y exp
AryakaUniversity of Colorado Boulder
A/B TestingAdobe Creative SuiteAdobe IllustratorAdobe PhotoshopAdobe Premiere ProAjax+99
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YY

Yuki Yoshinaga

Mid-level Software Engineer specializing in automotive embedded systems and robotics AI

New Hudson, MI3y exp
ToyotaGeorgia Tech
AWSAWS LambdaCC#C++CSS+57
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GE

Gavyn Ezell

Junior Software QA Engineer specializing in AI-driven test automation

Littleton, CO1y exp
Emporia EnergyUC San Diego
TypeScriptPythonC++C#SQLReact+47
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MH

Mohammed Hassouna

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

Corona, CA8y exp
KirusoftBoston University
HTMLCSSJavaScriptReactReact NativePython+50
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BT

Bhuvan Thirwan

Mid-level Software Engineer specializing in AI, data engineering, and cloud systems

San Francisco Bay Area, CA3y exp
SalesforceUniversity at Buffalo
Amazon KinesisApache AirflowApache KafkaApache SparkAWSCI/CD+76
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PC

Prathamesh Channe

Intern AI/Backend Engineer specializing in LLM agents and cloud microservices

San Jose, CA2y exp
NutanixUC Irvine
PythonJavaCSQLJavaScriptSpring Boot+55
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JB

Jayesh Borse

Mid-Level Backend Software Engineer specializing in distributed systems and observability

Mountain View, CA2y exp
YahooUC Irvine
JavaPythonC++JavaScriptHTMLCSS+41
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NP

Neeharika P

Mid-level QA Engineer specializing in manual and automation testing for web, mobile, and APIs

Houston, TX5y exp
GoogleUniversity of Houston-Clear Lake
Manual TestingFunctional TestingRegression TestingIntegration TestingUser Acceptance Testing (UAT)Smoke Testing+81
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LM

Lakshita Malhotra

Mid-Level Full-Stack & Cloud Engineer specializing in scalable distributed systems

Corvallis, OR3y exp
MicrotecOregon State University
CC++C#.NETJavaPython+51
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HD

Harbir Dhillon

Screened ReferencesModerate rec.

Mid-level Software Engineer specializing in distributed systems and cloud-based full-stack development

Stockton, CA3y exp
California Health Care FacilityVanderbilt University

“Software engineering candidate who built a compiler-like Python tool to translate between Python code and UML-style diagrams (and back). Also has hands-on AWS experience building a distributed pub/sub system using services like Lambda, API Gateway, ELB, WAF, VPC, and DynamoDB, plus ML projects using Kaggle datasets (e.g., diabetes risk analysis).”

PythonJavaJavaScriptHTMLCSSSQL+88
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MG

M G Riaz Ahamed

Screened

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.”

UnixLinuxPerformance tuningShell scriptingAutomationDocumentation+118
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SC

Sunil Chinthaparthi

Screened

Mid-level Python Developer specializing in AWS microservices and cloud automation

Jersey City, NJ4y exp
Best BuyPace University

“Backend engineer focused on Python/FastAPI microservices running on Kubernetes (AWS EKS) with strong GitOps/CI/CD ownership (GitHub Actions + ArgoCD). Demonstrated measurable performance wins (p95 latency cut from >1s to <200ms) and production reliability work across Kafka/Redis streaming and cloud-to-on-prem migrations (RDS/S3 to Postgres/MinIO) using parallel validation and checksum-based consistency checks.”

PythonFlaskFastAPIDjangoREST APIsCelery+115
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HG

Hrishikesh Gawde

Screened

Mid-Level Software Engineer specializing in AI/LLM systems and Azure backend platforms

4y exp
DeloitteUniversity of Washington

“LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.”

AWSAzure DevOpsAzure FunctionsCI/CDC#Claude+73
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JB

Jahnavi Bellapukonda

Screened

Mid-Level Software Engineer specializing in full-stack web and cloud systems

Remote, USA3y exp
AdobeTexas Tech University

“Full-stack engineer with strong data engineering and privacy-domain experience, having owned an automated Data Subject Rights (DSR) processing pipeline end-to-end across Azure SQL and GCP (GCS/BigQuery). Emphasizes production reliability via idempotency, validation checkpoints, structured logging/monitoring, and safe CI/CD-driven deployments, and has also built React+TypeScript + Node/Postgres web apps with scalable, maintainable architecture.”

JavaMicroservicesSpring BootObject-Oriented Programming (OOP)PythonMultithreading+170
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MG

Mithilesh Gaurihar

Screened

Mid-Level Software Engineer specializing in Java microservices and cloud-native systems

USA4y exp
CitigroupArizona State University

“Full-stack engineer (SAP Labs experience) who built an end-to-end, real-time fraud detection system on Java 11/Spring Boot microservices with Kafka event streaming and a React/Redux analytics dashboard with WebSocket updates. Demonstrated strong production ownership by diagnosing a critical memory leak with Prometheus/CloudWatch + heap dumps and improving performance with Redis caching (40% faster queries), while also modernizing deployments via Kubernetes, Jenkins CI/CD, and Terraform.”

AgileAJAXAmazon EC2Amazon RDSAmazon S3Amazon CloudWatch+138
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OJ

Omeed Jamali

Screened

Intern Computer Vision/Perception Engineer specializing in LiDAR and autonomous systems

St. Louis, Missouri0y exp
IntramotevUniversity of Illinois Urbana-Champaign

“Robotics/AV-focused engineer who built an end-to-end gesture controller for a GEM e2 autonomous vehicle using YOLOv8 pose and ROS, including model training, ROS perception nodes, and a safety-oriented state machine (stop override + hold-to-register). Also has internship experience at Intramotev integrating LiDAR object detection via Redis pub/sub and performing sensor-frame calibration (roll/pitch correction using ground-plane normals), plus Dockerized deployments and Gazebo-based testing.”

PythonCC++JavaSQLHTML+94
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SS

Swathi Sankaran

Screened

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).”

PythonJavaC++Shell ScriptingSQLDjango+224
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CC

Caden Cheah

Screened

Intern Full-Stack/ML Engineer specializing in LLM applications and mobile development

Los Angeles, CA1y exp
IlloominateUC Berkeley

“Backend engineer who built a serverless AWS Lambda microservices backend for a parenting assistance mobile app, including a personalized recommendation system optimized to sub-500ms via precomputed scoring and DynamoDB caching. Demonstrates strong production pragmatism: CloudWatch-driven performance tuning (provisioned concurrency), zero-downtime phased schema migrations, and robustness patterns like optimistic locking and request deduplication. Also led a refactor of an LLM RAG pipeline to improve retrieval quality and cut latency from ~5s to ~3s.”

PythonJavaGoCC#C+++104
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