Vetted System Design Professionals

Pre-screened and vetted.

VK

Varshitha K

Screened

Mid-level Data Engineer specializing in cloud data platforms and lakehouse architectures

Lakewood, CO4y exp
First BankUniversity of Central Missouri

Data engineer in a banking context who has owned end-to-end Azure lakehouse pipelines ingesting financial/vendor data from APIs, Azure SQL, and flat files into Databricks/Delta (bronze-silver-gold). Emphasizes production reliability via schema-drift validation, data quality controls, monitoring/alerting, retries/checkpointing, and Spark/Delta performance tuning, with outputs served to BI/reporting teams (e.g., Tableau).

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AK

Ajay Kancheti

Screened

Mid-level Full-Stack Engineer specializing in SaaS and FinTech

Glassboro, NJ4y exp
CitigroupRowan University

Product-minded full-stack engineer focused on internal operations tooling, with hands-on ownership across React/TypeScript, serverless APIs, and Postgres. They combine UX simplification with deep performance and reliability work, citing a transaction-exception workflow redesign that cut task completion time by roughly 25%, and they’ve also built multi-tenant configurable systems with strong guardrails.

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ER

Edward Ryan

Screened

Mid-level Full-Stack Engineer specializing in AI, automation, and synthetic data

New York, NY4y exp
DentsuUniversity of Surrey

Full-stack product engineer who has owned complex internal platforms end-to-end, spanning React/TypeScript frontends, Flask/Redis backend systems, and relational data design. Particularly strong at turning technically dense workflows into intuitive user experiences, including a synthetic-imagery platform adopted by multiple Army research labs and a marketing analytics system with 99.99%+ uptime.

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Apoorv Bankey - Mid-level Backend Engineer specializing in distributed systems and FinTech in New York City, NY

Apoorv Bankey

Screened

Mid-level Backend Engineer specializing in distributed systems and FinTech

New York City, NY6y exp
Rutgers UniversityRutgers University

Engineer who uses AI and multi-agent workflows as a force multiplier while keeping architecture, security, scalability, and production quality under human control. Shared a concrete example of accelerating a backend-heavy SaaS email ingestion platform with authentication, role-based APIs, database models, and deployment setup using agent-style development and review.

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rhema junapudi - Mid-level Full-Stack Developer specializing in cloud-native healthcare and insurance platforms in Albany, OR

Mid-level Full-Stack Developer specializing in cloud-native healthcare and insurance platforms

Albany, OR3y exp
Envision HealthcareSacred Heart University

Full-stack engineer with healthcare and claims-domain experience who has shipped AI-assisted documentation and fraud-scoring systems using Angular, ASP.NET Core, OpenAI APIs, and ML tooling. Stands out for building compliance-aware, traceable agentic architectures with graceful degradation, and for a nuanced understanding of AI failure modes in production.

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KS

Khushi Saxena

Screened

Junior Full-Stack Engineer specializing in AI systems and distributed backend development

San Diego, CA2y exp
San Diego State UniversitySan Diego State University

Early-career engineer who built and launched a zero-to-one AI-driven approval workflow at SDSU that is used daily by roughly 2,000 university users. They owned the system end-to-end—from FastAPI/PostgreSQL backend to React UI—and showed strong judgment around LLM reliability, using a two-step pipeline, validation checks, and human-review fallbacks to cut manual processing time by about 80%.

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Joshua Newell - Senior Software Engineer specializing in embedded systems and secure communications in Remote, USA

Joshua Newell

Screened

Senior Software Engineer specializing in embedded systems and secure communications

Remote, USA14y exp
SpiderOakWichita State University

Engineer with experience in defense and aerospace-adjacent software, including serving as lead engineer on an SBIR contract for a Space Force warfighter communication system. Has hands-on full-stack experience improving a flight test sensor management application with React, Perl, and Oracle SQL, plus recent systems work in Rust observability and Go-based secure communications integration.

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SR

Sandeep Reddy

Screened

Mid-level Software Engineer specializing in full-stack cloud-native systems

Remote, USA4y exp
WalmartWebster University

Full-stack engineer with hands-on experience building real-time analytics and logistics platforms across modern JavaScript and Java stacks. They combine strong production ownership and database optimization skills with architectural leadership, including redesigning bottlenecks with SQS/Lambda and driving a monolith-to-microservices migration on Kubernetes that cut deployment time by 50%.

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AR

Junior Software Engineer specializing in cloud-native microservices and warehouse systems

Bengaluru, India2y exp
CitrixUniversity of Colorado Boulder

Backend engineer who built and launched a warehouse locations/inventory microservice for Walmart, supporting a new product rollout with on-call war-room ownership and now running across all US distribution centers. Emphasizes reliability and correctness (background syncs, 2PC concepts, alerting) plus design-first API development in Python/FastAPI with OAuth/JWT and RBAC, and has led staged legacy-to-microservice migrations with continuous data integrity verification.

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SC

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

5y exp
Prime TherapeuticsOsmania University

Software engineer with deep healthcare claims domain experience who has owned customer-facing portals end-to-end (Java/Spring Boot + React/TypeScript) and improved usability/performance based on real user feedback. Built microservices using REST and RabbitMQ with strong observability (Splunk/cloud metrics), and delivered an internal claims investigation dashboard that streamlined operations through centralized data, search, and filtering.

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KU

kiran usha

Screened

Senior Full-Stack Java Developer specializing in microservices, cloud, and modern web UIs

6y exp
State FarmUniversity of Central Missouri

Robotics software engineer who built the software layer for an autonomous warehouse sorting system, spanning navigation/path planning, task scheduling, and backend services. Deep hands-on ROS 2 Foxy experience (Nav2/costmaps) and real-time multi-robot debugging, using simulation-driven analysis plus incremental/partial re-planning to handle dynamic obstacles in production-like warehouse environments.

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SB

Junior Mechanical Engineer specializing in robotics, product design, and embedded vision systems

Santa Barbara, CA2y exp
SaccadeUC Santa Barbara

Product designer/hardware prototyper building Saccade (VR headset attachment for Apple Vision Pro) to enable earlier, lower-cost Alzheimer's detection via eye-tracking and on-device CV/ML; designed a custom biocompatible snap-on light-shield replacement with integrated cameras/PCB after Apple camera-data restrictions. Also has biomedical manufacturing experience (major fixture-driven throughput gains) and leads a 160-member Assistive Technology Club sponsored by Apple and Google.

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TG

Executive Technology Leader (CTO/CIO) specializing in AI/ML, cloud modernization, and FinTech

Santa Monica, CA11y exp
Web3AdvisorsUniversity of Phoenix

Engineering/technology leader (CTO-style) with experience scaling orgs and running distributed teams across four continents for over a decade. Led a high-stakes modernization of a securities trading platform at Wedbush—migrating from monolith to microservices on AWS with zero-downtime constraints—driving 45% execution performance improvement and enabling 25% market share growth. Emphasizes business-aligned roadmaps, build-vs-buy rigor, and scalable engineering practices/culture.

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KR

Mid-Level Backend Engineer specializing in SaaS, FinTech, and AI document intelligence

San Francisco, CA3y exp
IntraEdgeNYU

Full-stack engineer who built an AI-driven document analysis and processing workflow end-to-end, including large-document ingestion, queued async processing, and low-latency retrieval for user-facing flows. Demonstrated practical performance tuning (moving heavy work off request path, polling, caching) and Postgres optimization validated with EXPLAIN ANALYZE, plus durable workflow resilience via retries and dead-letter queues.

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Nagaveda Sai Kumar Reddy Gajjala - Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud integrations in Richardson, TX

Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud integrations

Richardson, TX4y exp
PaycomUniversity of Texas at Dallas

Backend engineer with enterprise SaaS experience (Zoho) who owned an end-to-end cloud integration between Endpoint Central and ServiceDesk Plus, redesigning device onboarding across 64+ scenarios and building a fault-tolerant sync engine that recovered 100% failed transactions. Also built and operated production systems across the stack—FastAPI services with strong testing/observability, React+TypeScript portals, PostgreSQL performance tuning, and AWS deployments with real incident response (RDS CPU saturation resolved with zero downtime).

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Ram Usarty - Mid-level Full-Stack Software Engineer specializing in cloud-native distributed systems in USA

Ram Usarty

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native distributed systems

USA4y exp
OnesynergeeUniversity of Cincinnati

Backend/platform-focused engineer who has shipped production LLM agents for messy research dataset submissions, turning manual validation into an automated, reliable ingestion pipeline. Strong on production hardening (streaming large uploads, strict schema/function-calling outputs, idempotency, RBAC) plus eval/monitoring loops that improved data quality, reduced support burden, and increased adoption.

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Hemanth Kumar Gajagiri - Mid-level Full-Stack AI Engineer specializing in agentic systems and scalable platforms in San Francisco, CA

Mid-level Full-Stack AI Engineer specializing in agentic systems and scalable platforms

San Francisco, CA6y exp
GE HealthCareWilliam Jessup University

AI-focused full-stack/DevOps engineer who goes beyond using copilots and has built production-oriented LLM systems such as natural-language-to-SQL and structured insight extraction pipelines. Stands out for treating AI as an accelerator rather than a replacement, with a strong emphasis on guardrails, validation, observability, and safe deployment practices in agent-based and distributed systems.

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PN

Mid-level AI Engineer specializing in LLMs, RAG, and production ML systems

Oregon, USA3y exp
HexawareOregon State University

Backend engineer who built an AI-powered grant matchmaking platform for researchers and professors, combining semantic matching, embeddings, and Semantic Scholar enrichment with rule-based eligibility filters. Stands out for pragmatic AI engineering: they focused on reliability through confidence scoring, logging, manual validation, and production-minded backend design.

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VK

Senior Technical Lead specializing in Java microservices and cloud architecture

Tennessee, USA15y exp
AditiAndhra University

Lead full stack Java developer with deep experience building compliance-sensitive government financial systems, including payment distribution, escrow hold management, reallocations, and disbursement workflows. Stands out for combining Angular/React frontend work with Spring Boot, Oracle SQL/PL-SQL, and batch/JMS architecture to stabilize high-volume transaction systems, automate manual workflows, and reduce production support issues.

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AV

Mid-level Full-Stack .NET Developer specializing in healthcare and financial platforms

Bethesda, MD5y exp
Accompany HealthTrine University

Backend/ML systems engineer who built a Flask + PostgreSQL internal ticketing platform and demonstrates strong database/ORM performance depth (indexes, partitioning, RLS multi-tenancy). Notably optimized a high-throughput attachment OCR/embedding pipeline with batching, deduplication, and Redis caching, cutting median latency from 45s to 10s and reducing worker cost by 35% while increasing throughput 4x.

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JS

Joe Sleiman

Screened

Senior Frontend Developer specializing in scalable web applications

8y exp
NTT DATAMaharishi International University

Front-end engineer with deep expertise in sophisticated browser-based UIs for manufacturing ERP workflows, including a custom canvas-rendered scheduling timeline used by production planners all day. Stands out for combining low-level browser performance knowledge with close observation of expert users, resulting in a tool that replaced long-standing spreadsheet workarounds and significantly improved scheduling efficiency.

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VK

Mid-level Java/Spring Boot Engineer specializing in microservices and cloud platforms

Charlotte, NC4y exp
Bank of AmericaUniversity of Central Missouri

Full-stack engineer with deep production experience across healthcare, e-commerce, and financial systems, including early-stage startup architecture work and large-scale enterprise platforms. Stands out for driving a Spring Boot/RabbitMQ microservices migration that stabilized healthcare claims processing and for leading React modernization work supporting 50M+ weekly e-commerce transactions.

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VK

Mid-Level Full-Stack Software Engineer specializing in FinTech and application security

Texas, USA6y exp
PNCUniversity of Arkansas at Little Rock

Backend/real-time systems engineer transitioning into robotics software: building ROS 2 fundamentals (pub/sub, custom messages, launch files) and experimenting with Nav2 + SLAM in Gazebo/RViz. Demonstrated practical debugging by tuning costmaps/planners and analyzing topic latency to stabilize simulated navigation, and has experience integrating telemetry pipelines and REST-based external interfaces.

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NK

Nikhitha K

Screened

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

Minnesota, MN6y exp
Best BuyUniversity of Central Oklahoma

Full-stack engineer with production experience across React/TypeScript, Node/Express, and Java/Spring Boot, operating containerized systems on AWS (EKS/ECS/EC2/RDS/S3) with strong observability (CloudWatch/Grafana). Notable for fixing a real checkout/order-placement failure end-to-end by adding frontend submission guards and backend idempotency with Redis + Kafka deduplication, then validating impact via technical metrics and business KPIs. Has also built Kafka-based integrations/pipelines with robust retry/backfill/reconciliation patterns in retail and banking contexts.

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