Vetted Microservices Professionals

“Software engineer who builds workflow-centric products end-to-end, including a customer-facing module on the Trident AI content platform and an internal content workflow tool adopted as the default process. Strong in TypeScript/React + FastAPI architectures and in scaling event-driven microservices with RabbitMQ, emphasizing reliability (idempotency, DLQs) and observability (correlation IDs) to reduce outages and debugging time.”

“Frontend engineer with deep Shopify and React/TypeScript experience who has shipped real-time, high-concurrency products—most notably a live auction system on Shopify using pure JavaScript/Liquid with Pusher for instant bid updates. Also built a POS dashboard app with Redux Toolkit for real-time order/cart updates and delivered measurable storefront performance gains (~30–40% faster initial load) through modularization and asset optimization.”

“Backend/cloud engineer from Resilient Tech with hands-on experience deploying REST APIs and database migrations into a live ERP used by real customers while maintaining 99% uptime. Has debugged intermittent AWS container timeouts down to security group/load balancer misconfigurations, and has extended Python in an ERPNext system to meet GST/e-invoicing compliance requirements with strong customer collaboration.”

“LLM engineer who has deployed a production RAG system (LangChain/FAISS/FastAPI) for enterprise semantic search, tackling real-world latency by LoRA/PEFT fine-tuning and grounding outputs with retrieval. Brings strong MLOps (Docker, AWS EKS, CI/CD, MLflow) plus stakeholder-facing explainability experience using SHAP to align ML-driven financial guidance with non-technical domain experts.”

“Data engineer with experience at Morgan Stanley and Star Health owning production-grade lakehouse pipelines for credit risk and healthcare datasets. Built Azure/Databricks/Delta/Snowflake-based platforms processing millions of records per day with strong data quality, observability (Monte Carlo/Azure Monitor), and reliability practices, plus experience delivering curated data services with performance tuning and backward-compatible versioning.”

Uzair Asif

Screened

Senior Full-Stack Software Engineer specializing in cloud-native web, mobile, and AI features

8y exp

“Frontend lead for a consumer-facing social platform, owning architecture through release. Built scalable React/TypeScript systems (Redux Toolkit, Remix) with a shared Storybook component library and strong quality gates (CI, Jest/Cypress). Experienced modernizing legacy codebases incrementally with feature flags and shipping major dashboard features with staged rollouts and close QA collaboration.”

Umair Azam

Screened

Senior Full-Stack Software Engineer specializing in Ruby on Rails and React

Lahore, Pakistan10y exp

“Frontend engineer with React/TypeScript experience who has led end-to-end UI work on a fintech product (React frontend with NestJS APIs), emphasizing performance (virtualized rendering, memoization, lazy loading, profiling) and quality at scale (unit tests and TDD). Also built and iterated on a snooker sports app, simplifying UX through audience-focused design decisions and streamlined onboarding.”

MANOGNA VADLAMUDI

Screened

Junior AI Engineer specializing in LLM evaluation, prompt engineering, and AI orchestration

Chicago, IL1y exp

“LLM workflow builder who has deployed a personalized GPT experience (including Delphi AI-based knowledge ingestion) and built a LangChain/LangGraph job-aggregation pipeline that ingests, normalizes/dedupes, filters, then uses an LLM to rank and summarize matches. Emphasizes production reliability with structured outputs, retries/fallbacks, metric-driven evaluation, logging/prompt versioning, and A/B testing, and collaborates with non-technical stakeholders through demo-driven iteration.”

Srikar Tharala

Screened

Mid-level AI/ML Engineer specializing in Generative AI and RAG systems

Remote, USA4y exp

“Currently at ProShare and reports building an AI/LLM-powered system deployed to production, aimed at helping with status-related difficulties and reducing misunderstandings across transactions. Also cites prior collaboration at Porsche with marketing teams, focusing on translating marketing goals into technical requirements and communicating solutions clearly to non-technical stakeholders.”

Atharva Chavan

Screened

Junior Full-Stack Software Engineer specializing in mobile, cloud, and GenAI integration

Syracuse, NY2y exp

“Software engineering intern with hands-on ownership of a Java/Spring Boot order management microservice, including production performance tuning via Redis caching and database indexing driven by API logs/metrics. Also contributed to a production mobile-backend LLM feature using RAG with embeddings over structured data and documents (DB + object storage), with guardrails to keep responses grounded.”

Peter Ciccone

Screened

Mid-Level Software Developer specializing in .NET web applications on Azure

5y exp

“Full-stack developer who built an end-to-end billing/allocation/payment and reporting system used daily by a major film-industry union, including queuing-based check assignment, admin auditing, data cleanup tools, and an external reports portal. Also delivered a factory production scheduling/analytics app for a lock manufacturer, and typically implements APIs in C#/.NET with DTO shaping and pub/sub messaging for microservices consistency.”

Gomathy Selvamuthiah

Screened

Junior Data/AI Engineer specializing in MLOps, real-time pipelines, and LLM applications

Portland, US2y exp

“Built an LLM-driven MLOps agent at SBD Technologies that automated an EV-charging prediction workflow end-to-end, integrating with real-time Kafka/FastAPI systems supporting 120K+ chargers at 99.99% event delivery. Addressed frequent schema drift by implementing SQLAlchemy/Flyway validation (60% reduction in drift issues) and deployed as Kubernetes microservices with GitHub Actions CI/CD; also has Airflow-based ingestion/crawling experience into Snowflake and stakeholder-facing delivery via a Fleetcharge PWA.”

“Product-minded full-stack engineer with experience in fintech identity verification and industrial analytics, focused on turning repeated operational pain points into reusable platforms. Built real-time KYC/KYB dashboards, secure cross-platform web components, and a multi-tenant workflow engine that cut onboarding from 2 weeks to 1 day while materially improving conversion, reliability, and developer speed.”

“Software engineer with hands-on experience across platform modernization, production AI agents, and workflow automation. They led a monolith-to-microservices migration that increased deployment speed from weekly to daily, built a self-healing GPT-powered browser agent with an 85% autonomous recovery rate, and founded/ran ZapDash, where they hardened Kafka-based integrations against silent data loss.”

“Software/product engineer who has owned a consumer iOS dating app from customer discovery through roadmap execution, while also shipping an in-app LLM-powered support/feedback bot. Brings a mix of product sense and backend systems experience, including rebuilding a race-condition-prone event orchestration system and designing microservices to handle arbitrary black-box production data.”

“Software engineer with hands-on experience spanning backend APIs, streaming data systems, and cloud/infrastructure automation, who is already using agentic AI workflows in a disciplined way. Stands out for combining practical systems work in Spring Boot, Kafka/Spark/ClickHouse, and Terraform/Kubernetes with a thoughtful approach to AI oversight, architecture, and multi-agent orchestration.”

Sampath achalla

Screened

Mid-level Systems Software Engineer specializing in distributed cloud infrastructure

USA3y exp

“Backend-leaning full-stack engineer in fintech/payments who shipped an end-to-end Stripe payments + webhook system for a financial microservices platform, emphasizing ledger accuracy via idempotency, transactional writes, retries, and DLQs. Also delivered a real-time React/TypeScript payment status dashboard informed by user interviews, and improved production performance by 35% p95 latency through PostgreSQL tuning and Redis caching on AWS.”

Shayan Naqvi

Screened

Mid-level Full-Stack Engineer specializing in AI and geospatial SaaS

Lahore, Pakistan3y exp

“Full-stack engineer in the renewable energy software space who has built an LLM-powered due diligence reader and self-serve geospatial upload workflows that materially reduced customer turnaround time. Combines Angular/NestJS product engineering with AI pipelines, geospatial data handling, and strong user-feedback-driven iteration, plus a side-project builder streak with a Spotify analytics app.”

“Senior full-stack developer who has operated in lean, multi-product engineering environments with significant end-to-end ownership. Strongest in JavaScript/TypeScript, React, and Next.js, with hands-on experience building a custom media player and internal business operations platforms that improved efficiency through dashboards, RBAC, search, and performance optimization.”

Shuchi Shah

Screened

Senior Software Engineer specializing in Applied AI and FinTech

San Jose, CA12y exp

“Backend engineer with experience building an end-to-end civic tech AI platform that ingests city council meeting videos, transcribes them with Whisper, and enables natural-language Q&A via a LangChain/FAISS RAG pipeline. Demonstrated strong systems thinking by tuning retrieval for accuracy/latency/memory (cutting response time ~3s→1s and memory ~500MB→25MB) and by safely migrating an ERP from monolith toward services using dual writes, reconciliation, and idempotency to protect financial workflows.”

“Backend-focused engineer with 7+ years of experience building cloud-native, distributed SaaS systems in startup-like environments, including healthcare and enterprise automation platforms. Strong in Go/Python microservices, event-driven architectures, and production AI/LLM integration, with hands-on experience scaling Kubernetes-based systems on AWS while balancing speed, reliability, and evolving product requirements.”

“Full-stack/backend-heavy engineer with strong healthcare domain expertise, focused on modernizing regulated platforms for payroll, billing, and caregiver operations. Notably led a legacy Express.js billing platform migration to modular NestJS services that enabled same-day deployments and unblocked enterprise customer onboarding, while bringing deep experience in compliance, auditability, and production reliability.”

Ned Ned Zaidi

Screened

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

Dumfries, VA9y exp

“Full-stack/backend-leaning engineer with hands-on experience spanning Python, Go, React, Kafka, PostgreSQL, Redis, Docker, and Kubernetes. They stand out for building real-time analytics and decisioning systems, plus a healthcare-focused B2B SaaS compliance/data integration platform that combined high-throughput event processing, dashboarding, and third-party integrations in a startup-style, high-ambiguity environment.”

“Backend-focused engineer with deep healthcare interoperability experience, building Go-based distributed systems for live clinical data exchange across hospital systems. Stands out for combining startup-style ownership with HIPAA/compliance rigor, including creating a reusable Go microservice template and improving reliability across Kafka, PostgreSQL, and Kubernetes-based production platforms.”