Vetted Database Design Professionals

Pre-screened and vetted.

AV

Junior Full-Stack Developer specializing in web systems and performance-focused backend work

Ann Arbor, MI3y exp
Alta Vista TechnologyUniversity of Michigan
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HM

Mid-level SDET specializing in cloud-native test automation and API testing

New Jersey, USA5y exp
XDuceNortheastern University
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BA

Mid-Level Full-Stack Software Engineer specializing in AWS cloud-native web apps

Shoreline, WA3y exp
Two Ravens Consulting GroupWestern Governors University
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RA

Executive Technology Leader specializing in SaaS, cloud platforms, and engineering leadership

Remote16y exp
The People StackNortheastern University
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SL

Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare

Dallas, TX6y exp
U.S. BankIndiana Wesleyan University
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VT

Mid-level AI Software Engineer specializing in agentic AI, RAG, and data engineering

USA4y exp
NRG EnergyUniversity of Texas at Dallas
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AK

Mid Software Developer specializing in Java microservices and cloud-native systems

Birmingham, AL4y exp
InfosysUniversity of Alabama at Birmingham
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NV

Entry-level product and frontend developer specializing in student platforms and FinTech

San Ramon, CA0y exp
Generate Product Development StudioNortheastern University
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MK

Mid-level SQL/BI Developer specializing in data warehousing and ETL

South Jordan, UT5y exp
Health CatalystBVC College of Engineering, JNTU Kakinada
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AK

Staff Software Engineer specializing in distributed systems, blockchain, and AI/ML platforms

Medfield, MA29y exp
Pastel NetworkTomsk State University of Control Systems and Radioelectronics
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PB

Senior .NET Full-Stack Developer specializing in healthcare and financial services

Pennsylvania, USA8y exp
CEI AmericaRobert Morris University
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SK

Mid-Level .NET Full-Stack Developer specializing in Azure cloud and SPA development

New York, NY6y exp
Morgan Stanley
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TJ

Tushar Jayendra Mhatre

Screened ReferencesStrong rec.

Intern Data Scientist/ML Engineer specializing in generative AI and ML platforms

Remote4y exp
The Aether LoopUniversity of Oklahoma

AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.

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BK

Bhumika Kusugolli Parameswara

Screened ReferencesStrong rec.

Mid-level Full-Stack Software Engineer specializing in web and SaaS applications

Boston, MA4y exp
BitmatoBoston University

Full-stack product engineer who independently built and maintained a marketplace app end-to-end, including React/Node/PostgreSQL architecture, real-time chat, S3 uploads, and OpenAI-based listing validation. Also shipped backend-heavy workflow features for a nonprofit upward mobility platform using Supabase edge functions, with a clear focus on security, role checks, and operational reliability.

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NR

Nakul Reddy Sarasani

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in cloud-native distributed systems

Dallas, USA3y exp
JPMorgan ChaseUniversity of North Texas

Software engineer with JPMorgan Chase experience building a real-time operations console backend on Spring Boot/Kafka/Kubernetes and resolving peak-load latency through profiling, indexing, caching, and async processing. Also built and owned an AI-driven digital-archives metadata pipeline during a master’s at UNT using OCR + LLaMA-based prompting with validation, near-human accuracy, and human-in-the-loop guardrails.

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Rathi Anand - Senior Full-Stack Software Engineer specializing in Insurance, FinTech, and AI/ML applications in Dublin, CA

Rathi Anand

Screened ReferencesStrong rec.

Senior Full-Stack Software Engineer specializing in Insurance, FinTech, and AI/ML applications

Dublin, CA17y exp
State Compensation Insurance FundCollege of Engineering, Guindy (Anna University)

AI/backend engineer who fine-tuned and deployed a production LLM chatbot using a LangChain + FAISS RAG pipeline, improving latency with PEFT/LoRA and driving strong business impact (40% customer adoption; 92% satisfaction). Also served as technical lead on a data aggregation system for underwriting/quoting, introducing GraphQL for more efficient, maintainable querying and applying CDC to keep cached ranking data fresh at scale.

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MC

Manoj Cooray

Screened

Staff Software Developer specializing in enterprise backend and event-driven systems

Goleta, CA25y exp
PSNAmericasMcMaster University

Backend-heavy engineer with deep experience building enterprise and real-time systems across healthcare, operations monitoring, e-commerce, and 911 call center domains. He has led and personally coded greenfield and customer-facing platforms, including cloud/on-prem integrations, custom workflow tooling, and microservices architectures, while now independently upskilling into modern TypeScript/React-based frontend technologies.

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Jaideep Ramani - Senior Full-Stack Python & AI Engineer specializing in FinTech and real-time platforms in Raleigh, NC

Senior Full-Stack Python & AI Engineer specializing in FinTech and real-time platforms

Raleigh, NC9y exp
Analah.aiNorth Carolina State University
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PK

Senior Software Engineer specializing in FinTech integrations

Nairobi, Kenya12y exp
Equity BankStrathmore University
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AM

Executive Technology Leader (CTO/CPO) specializing in digital transformation, ERP, AI/ML, and M&A

Brea, CA19y exp
Allure Bridals
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ZY

Zhaoyue Yang

Screened ReferencesModerate rec.

Junior Full-Stack Application Developer specializing in internal web portals

Toronto, Canada3y exp
Great GulfUniversity of Toronto Scarborough

Frontend engineer experienced delivering React + TypeScript dashboards end-to-end, including real-time updates via WebSockets and scalable component architecture. Has improved inherited codebases by building shared component libraries and performance optimizations (lazy loading/memoization), reporting ~20% faster feature delivery, and ships major features with QA rigor and feature-flagged rollouts driven by analytics and user feedback.

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