.png){kind=logo}
Vetted JavaScript Professionals
Pre-screened and vetted.
Sai Savaram
Mid-Level Software Engineer specializing in microservices and cloud-native systems
“Backend-leaning full-stack engineer with logistics domain experience (DHL) who shipped a real-time shipment status update system using Spring Boot + Kafka and a performance-tuned PostgreSQL tracking schema. Also has AWS production operations experience (ECS/Kubernetes, Jenkins CI/CD, Terraform/Ansible) and has handled peak-load incidents end-to-end by tracing Kafka lag to database bottlenecks and resolving via query/index optimization plus scaling.”
Archit Gangal
Senior Full-Stack Developer specializing in cloud-native microservices and AI/ML analytics
“Full-stack/backend engineer with deep insurance claims domain experience who built and operated a microservices + ETL platform (Java/Spring Boot + Python + Kafka/Databricks) processing 1M+ daily transactions. Combines production-grade reliability (99.7% uptime, zero-downtime blue/green releases, strong observability) with customer-facing UI delivery (AngularJS/React+TS dashboards and a hackathon-winning research chatbot).”
Md Jahirul Chowdhury
Senior QA Automation Engineer (SDET) specializing in mobile and API test automation
“QA engineer with 11+ years (nearly 12) in IT across financial, healthcare, and telecommunications domains, experienced partnering closely with developers throughout Agile delivery. Strong in building/maintaining living test plans, running smoke/regression on new builds, and driving triage with impact-based prioritization using Jira/TestRail/Confluence; targets $100k+ base with standard benefits.”
Medhovarsh Bayyapureddi
Intern Machine Learning & Full-Stack Engineer specializing in computer vision and healthcare AI
“AI/ML-focused backend engineer who shipped two production systems: PersonaPal (agentic LLM chatbot with RAG, FAISS-based retrieval, and Redis semantic caching) and CervixScan (clinical diagnostics platform with PostgreSQL data modeling and human-in-the-loop safety for low-confidence predictions). Demonstrates strong performance/reliability work (indexed vector search, caching, query optimization to ~200ms) and end-to-end ownership from orchestration design through deployment.”
koushik nalaparaju
Mid-level QA Automation Engineer specializing in web, API, and CI/CD test automation
“QA automation engineer with hands-on ownership of Selenium (C#) and Cypress (JavaScript) suites, including CI integration in GitLab with PR smoke gating and nightly regressions with JUnit reports/screenshots. Drove a reported ~60% reduction in manual effort, improved suite maintainability through reuse/merging tests, and proactively shaped requirements/acceptance criteria in sprint planning to prevent defects (including claims calculation and server/log-related issues).”
Shiva Kumar
Mid-Level Full-Stack Developer specializing in Java/Spring Boot and React in banking
“Full-stack engineer (4+ years) with Citigroup experience building a modular banking dashboard using React/TypeScript/Redux and a Java Spring Boot microservices backend (12+ services) integrated with Kafka. Strong in reliability/observability and cloud operations on AWS (EC2/S3/Lambda, CloudWatch, Prometheus, ELK, IaC with Terraform/CloudFormation), with quantified improvements in latency, development speed, and data pipeline correctness.”
Abdullah Chattha
Mid-Level Full-Stack Software Engineer specializing in hybrid cloud platforms
“Full-stack engineer from HPE GreenLake who built and owned a cloud/hypervisor resource management experience end-to-end, including Postgres modeling, typed REST/GraphQL integrations, and resilient provisioning workflows. Drove a centralized Redux-based UI architecture that boosted dev velocity by 50% across 30+ teams, and continued post-launch ownership with DR integrations (AWS/GCP/Azure) plus expanded Cypress testing and observability.”
Peter Mascheroni
Senior Solutions Engineer specializing in Microsoft 365, cloud migration, and enterprise automation
“Security-focused engineering leader working with an MSP and internal teams to tighten tenant security (least privilege/global admin reduction, conditional access, MFA) while maintaining operational responsiveness. Has implemented and operated Rapid7, Expel, Microsoft Defender/Entra, and Cisco Umbrella, and led a challenging Microsoft Copilot rollout integrating SharePoint and Salesforce with strong Jira/KB/postmortem practices.”
Hiya Kothari
Intern Full-Stack Software Engineer specializing in AI/ML and cloud
“Built a Python-based geospatial machine learning backend for PFAS contamination risk mapping, including reproducible feature pipelines, ensemble modeling, and a FastAPI layer for visualization/analysis. Emphasizes data integrity and robustness (CRS/coverage checks, fail-fast validation) and has led safe backend refactors using feature flags, idempotent backfills, and Postgres RLS for secure, queryable results delivery.”
Serkan Yildirim
Staff Full-Stack Software Engineer / Tech Lead specializing in scalable web platforms
“Frontend engineer who has led end-to-end delivery of a bag tag management application and contributed to a bank wealth application using micro-frontends. Emphasizes scalable architecture, reusable component systems (Storybook), performance techniques (lazy loading/code splitting), and quality/security tooling (Veracode, Wiz Scan, SonarQube) with a disciplined multi-environment release process.”
Suraj Thangellapally
Junior Software Engineer specializing in machine learning and data science
“Python backend engineer who built a personal LLM-powered AI code review tool that parses code into context-preserving diff chunks and uses the OpenAI API to analyze and summarize changes. Has hands-on Kubernetes deployment experience (replicas, rolling updates, ConfigMaps/Secrets, health probes) and follows GitOps-style, declarative CI/CD workflows; also has experience designing streaming/event-style processing with attention to reliability and observability.”
Somil Shah
Mid-level AI/ML Engineer specializing in generative AI, RAG platforms, and LLM agents
“AI/LLM engineer who has shipped 10+ production applications, including InvestIQ on GCP—a production-grade RAG due-diligence engine that ethically scrapes web/PDF sources, builds a ChromaDB knowledge base, and delivers analyst-style dashboards plus a citation-backed chat copilot. Deep focus on reliability (evidence-only answers, hard citations, refusal gating), retrieval tuning, and orchestration (Airflow/Cloud Composer), plus multi-agent systems (CrewAI with 7 specialized finance agents).”
“Backend-focused intern who built and refactored the backend for an LLM-driven gifting mobile app using FastAPI, tackling high-latency LLM + product-API workflows. Implemented async worker-pool/queue processing with Redis caching plus retries/fallbacks, cutting end-to-end suggestion latency from ~4–5 seconds to ~1 second while improving reliability and rollout safety via staged migrations and testing.”
Harshitha K
Mid-level Full-Stack .NET Developer specializing in cloud-native microservices
“Full-stack .NET engineer with cloud and applied GenAI experience who shipped a real-time policy status tracking module at Lincoln Financial using ASP.NET Core/.NET 8, Kafka, Angular, SQL Server, Redis, and AKS autoscaling. Also delivered a production internal LLM+RAG support assistant at Honeywell with strong security/guardrails (PII masking, RBAC) and a rigorous eval/regression loop built on a 200-question gold set.”
maheen Adeeb
Senior Machine Learning Engineer specializing in LLMs, speech AI, and RAG systems
“AI engineer with production experience building multilingual speech-to-speech translation pipelines (ASR + LLM) for enterprise/media, focused on reliability at scale. Has hands-on orchestration experience (including IBM Watson contexts) and emphasizes production evaluation/monitoring using a mix of traditional metrics and LLM-based evaluators to catch quality regressions while balancing latency and cost.”
Swetha Sai
Mid-Level Software Engineer specializing in cloud-native microservices and analytics platforms
“JavaScript engineer with a track record of diagnosing and fixing real performance issues end-to-end—profiled a charting library freeze on large datasets, rewrote layout logic to batch updates, added tests, and got the PR merged upstream. Also has experience stabilizing backend services in ambiguous, fast-moving projects by defining priorities, tightening API contracts, and owning delivery through deployment.”
Aniruth Ravula
Mid-level Full-Stack Java Developer specializing in Angular and Spring Boot microservices
“Full stack Java developer (5 years Java/Spring Boot) building a mortgage-focused rule engine platform used by business users and developers. Experienced scaling data-intensive microservices on AWS (RDS/S3/SQS) and optimizing high-volume rule processing with SQL tuning, caching (KIE container), and asynchronous task decoupling; also delivers modern UIs in Angular and React (Redux/Toolkit).”
Mohithkumar Bolisetti
Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms
“Full-stack engineer focused on modernizing legacy financial/compliance platforms into cloud-native, domain-driven microservices. Deep hands-on experience across Spring Boot/Kafka/Redis/Postgres-Mongo backends and React/Angular frontends, with strong CI/CD and Kubernetes/OpenShift deployment practices for real-time, high-volume workloads.”
Renaldi Saputra
Mid-level Software QA Tester specializing in manual, automation, API, and database testing
“Console game QA tester with ~2 years of experience testing PS4 and Nintendo Switch titles across genres (RPG, shmup, action platformer). Focuses on identifying functional/UI/UX issues and triaging high-risk crash and game-breaking bugs; prefers structured team environments and a 9-to-5 schedule.”
Vamshi Korra
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
“Open-source React dashboard/visualization library maintainer focused on runtime performance and API clarity. Led a significant effort to eliminate severe render lag on large live-updating datasets through profiling-driven refactors (normalized state, memoized selectors) and locked improvements in with CI, linting, and documentation that reduced regressions and improved external contributor onboarding.”
Andrew Snow
Senior Software Engineer specializing in real-time XR simulation systems
“Unity/C# gameplay engineer with VR shipping experience at Academental on a Meta Quest dental simulation product (Teo), implementing SmartFox-based multiplayer with room-code sessions and resync/reconnect handling to maintain shared POV training. Also building a roguelike platform fighter from the ground up with an ECS-style, data-driven combat system where attacks dynamically change by weapon (directional attacks, hitboxes, knockback/combos).”
Ioannis Gregos-Mourginakis
Mid-Level Software Engineer specializing in blockchain, data pipelines, and functional programming
“Built an LLM-powered production agent that scraped X.com data to categorize and profile accounts, deployed in Docker with automatic relaunch for high uptime. Interview details were limited, but the candidate does have hands-on experience shipping an AI automation workflow.”
“Analytics-focused candidate with internship and project experience at Recotap and CoUnderscore, combining SQL, Python, and BI dashboards to turn messy marketing and engagement data into decision-ready reporting. Stands out for tying analytics work to business outcomes, including ~15% CTR improvement, identifying ~40% misattributed spend, and enabling a ~$75K budget shift through better targeting.”
JUHI PATEL
Entry Product Builder specializing in AI-assisted software prototyping
“Early-stage product engineer who has shipped an AI-assisted workflow web app end-to-end, spanning Next.js/TypeScript frontend, Python-backed LLM APIs, Postgres analytics, and async backend workflows. Strong ownership after launch as well, including usage tracking, prompt and UX iteration, latency reduction, and measurable database performance improvements.”