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Vetted Data Structures Professionals
Pre-screened and vetted.
Harshini Jonnala
Senior Backend Software Engineer specializing in distributed systems and cloud microservices
“Backend engineer with NTT Data experience building Java/Spring Boot services for product-data ingestion, including Kafka-based asynchronous pipelines and Redis read-through caching. Also built a personal RAG system deployed on Google Kubernetes Service using FastAPI, LangChain, and Pinecone with multi-tenant data isolation; holds a Master’s background in Machine Learning.”
Sowmya Kasu
Mid-Level Software Engineer specializing in Healthcare IT and cloud-native microservices
“Backend/ML engineer with healthcare experience at Kaiser Permanente building HIPAA-compliant Java/Spring Boot + GraphQL APIs integrated with Epic HealthConnect, including hands-on reliability/performance debugging using Prometheus/Grafana and resolver-level N+1 elimination. Also built an end-to-end malaria parasite detection ML feature (CNN/R-CNN) with evaluation, guardrails, and workflow integration, and has experience designing robust state-machine-based automation with retries, DLQs, and alerting.”
Jonathan Dearborn
Senior Gameplay Engineer specializing in VR and cross-platform gameplay systems
“Unreal Engine (C++/Blueprint) gameplay systems engineer who shipped major VR social-sports features in Orion Drift, including a wieldable items system that became the game’s primary IAP revenue driver and supported 75-player lobbies via careful replication/performance tradeoffs. Also built the station/server browsing system to steer players into lively lobbies and implemented backend-to-frontend tech tree infrastructure using Unreal DataTables, plus tuned standout mechanics like rideable rockets and Driftball projectile/ball behavior through frequent playtests.”
Sukesh Sadhu
Mid-Level Software Engineer specializing in FinTech payments and event-driven microservices
“Backend/data engineer focused on fintech payments and fraud systems, owning real-time Kafka-based reconciliation pipelines end-to-end (~13k tx/day). Built audit-friendly validation/reconciliation (SQL + Python), kept lag to seconds, and cut errors ~20%, while also shipping Spring Boot APIs with Redis caching and strong idempotency/versioning. Has early-stage startup experience standing up payment services on AWS with Docker + GitHub Actions and production monitoring/incident handling.”
Kuldip Savaliya
Mid Software Engineer specializing in AI automation and full-stack systems
“Built and shipped a production LLM-powered email automation agent for procurement that ingests emails/attachments, classifies requests via rules+embeddings+LLM fallback, enriches responses with SAP inventory data, and generates templated replies. Architected it as an event-driven, idempotent Azure Functions/Queues pipeline with schema-constrained outputs, confidence gating, retries/circuit breakers, and Application Insights monitoring—cutting turnaround time from 4–7 days to near real-time while maintaining zero downtime.”
Kush Shah
Junior Full-Stack Software Engineer specializing in web apps and automation
“Backend engineer with hands-on experience building an AI-powered document processing pipeline for insurance workflows from design through deployment and production support. They combine LLM-based extraction with rule-based validation, retries, and observability, showing a pragmatic approach to making AI systems reliable in high-stakes environments.”
Amarnath Kaushik
Junior Software Engineer specializing in full-stack systems and AI applications
“Full-stack AI engineer who has owned production deployments for both a voice journaling/emotional insights app and a RAG-based research assistant. Stands out for turning messy, failure-prone LLM and document pipelines into reliable user-facing systems through strong debugging, staged workflow design, and post-launch stabilization.”
Deepak Singh
Mid Software Engineer specializing in systems, CI/CD, and applied machine learning
“Engineer at Syniti who uses AI tools pragmatically to speed development while maintaining quality through rigorous validation, code reviews, and CI/CD. Most notably, they leveraged AI-assisted testing to increase test coverage from 10% to 70%, and they are actively exploring more advanced agent-based development workflows.”
Sakshi Patel
Mid-level Software Engineer specializing in e-commerce and supply chain platforms
“AI-focused developer who has built several practical AI products, including EchoMate, a voice-agent system designed to act as a proxy for doctors and support patients when physicians are unavailable. Also has experience with multi-agent/API-based workflows in a solar suitability project, showing interest in applying AI across both healthcare and climate-related use cases.”
TingYu Chou
Entry-level ML Systems Engineer specializing in LLM infrastructure and recommender systems
“Engineer with a mature, agent-oriented approach to AI-driven software development, using structured planning, TDD, and verification loops rather than ad hoc prompting. Has hands-on experience acting as a tech lead for multiple AI agents in an LLM intelligent routing project, coordinating implementation, testing, debugging, and edge-case review with strong attention to system tradeoffs.”
Srija Komaraneni
Mid-level AI Software Engineer specializing in backend systems and FinTech AI
“Data engineering/software development candidate who built a stock market pipeline and uses that project to demonstrate strong architectural thinking across Kafka, Spark, and Airflow. They stand out for a pragmatic approach to AI: using tools like Copilot, ChatGPT, LangChain, and AutoGen to accelerate development while maintaining human oversight, testing, and system-level decision making.”
Muraliprasath Ponnuswamy
Mid-level Full-Stack Software Engineer specializing in Java/Spring microservices and cloud
“Backend-focused engineer with experience owning a production e-commerce platform end-to-end (TypeScript/Node/Express, React, MongoDB, Redis) including RBAC and contract-based API development. Also worked at Infosys on a large healthcare management system built with Spring Boot microservices, using Kafka for messaging/retries, circuit breakers for resilience, and OpenTelemetry/Swagger for observability and API documentation.”
Uchechukwu Okechukwu
Mid-Level Software Engineer specializing in backend, distributed systems, and AI/LLM platforms
“Built and shipped AI-powered workflow automation at Oracle, including an MCP-based agentic workflow with tool-calling and guardrails, plus Grafana monitoring and Confluence documentation. Also led a Django monolith-to-microservices migration at Chamsmobile using blue-green deployment and load balancer traffic splitting to avoid regressions while modernizing production systems.”
Manvi Panjwani
Mid-level Machine Learning Engineer specializing in cloud, governance automation, and distributed systems
“Governance engineer intern at GSK who built policy-as-code automation using Open Policy Agent/Rego integrated into GitHub CI/CD and Terraform workflows. Also built and shipped a voice-enabled expense tracking app using speech-to-text + LLM structured extraction with strong validation, retries, and semantic guardrails, and designed the supporting PostgreSQL data model with performance-focused indexing.”
Jyoti mishra
Director-level Scrum Master / Technical Program Manager specializing in Agile delivery
“Director of Projects with experience owning HR operations processes from onboarding through exit and partnering with engineering to build/fix HRMS-related systems. Led cross-functional teams (engineering, QA, DevOps, operations, legal) to resolve data/tooling issues and improve operational rigor through Jira/Confluence documentation and multi-level code checks; also managed org-wide Jira licensing and user provisioning.”
George Stathopoulos
Entry-level Software Engineer specializing in full-stack web development and applied systems work
“Full-stack developer with hands-on experience building an end-to-end automated trading platform that combines web scraping, relational data storage, Flask/React architecture, and LLM-based decisioning via Google Vertex AI. Also brings production experience at CALEC, where they contributed frontend improvements including welcome-page redesigns, multilingual support, and accessibility-related fixes.”
Dishank Kailash Oza
Mid-level Software Engineer specializing in distributed systems and cloud infrastructure
“Engineer with a thoughtful, production-oriented approach to AI-assisted development, including multi-agent workflows for planning, coding, review, testing, and debugging. Stands out for treating AI systems like distributed pipelines with explicit interfaces, validation layers, and guardrails to improve reliability and reduce hallucinations.”
Rambabu Dhanavath
Mid-level Software Engineer specializing in backend and cloud-native microservices
“Backend/cloud engineer with 5 years of experience who has shipped a production internal ops LLM assistant end-to-end using Spring Boot microservices on AWS. Stands out for designing controlled, safety-first agent orchestration with deterministic tool access, Redis/DB-backed recoverable state, and strong observability/evaluation practices to improve reliability in production.”
TOLUWANI ALAKABA
Mid-level Digital Marketing & Social Media Strategist specializing in multi-platform growth
“Creator-led growth and digital marketing professional with experience as a media team lead and agency-side marketer (Furst spark), sourcing and negotiating creator partnerships for events, fintech apps, and lifestyle subscription launches. Runs data-driven, cross-platform campaigns (Instagram, TikTok, YouTube Shorts, Twitter/X) with trackable links and rapid optimization; reports doubling engagement rate in a fintech acquisition experiment and driving repeat creator collaborations.”
Shivam Lahoti
Junior Full-Stack Software Engineer specializing in TypeScript/React and microservices
“Software engineer who built and owned an internal workflow automation + analytics platform end-to-end (TypeScript/React/Node) with a microservices, RabbitMQ-based async architecture. Drove adoption by shipping iterative prototypes and prioritizing reliability/performance (Redis caching, query optimization), delivering ~30–35% latency improvements and ~30–40% reduction in manual operational work.”
Mohith Venkata
Mid-level Full-Stack Developer specializing in cloud-native APIs and data workflows
“Built and owned end-to-end ordering and inventory/order management systems for a wholesale distributor, delivering an MVP quickly and iterating based on direct observation of daily users. Experienced with TypeScript/React + Node.js layered architectures and microservices using RabbitMQ, including real-world scaling issues (duplicates, backpressure) and observability practices (correlation IDs, structured logging).”
Ashank Dsouza
Senior Full-Stack Software Engineer specializing in cloud-native web platforms
“Engineer with startup experience who emphasizes disciplined Agile execution (requirements analysis, Jira tasking, sprint planning) and production readiness (testing/QA/PR review). Uses profiling/logging for high-observability debugging and prioritizes incidents by impact. Has demoed engineering processes and worked directly with a client (Canadian music service) to position product capabilities and future extensions to drive adoption.”
Harika Reddymalle
Mid-Level Full-Stack Software Engineer specializing in backend automation and insurance systems
“Full-stack engineer with hands-on production ownership across Angular/.NET/SQL and React+TypeScript/Node/Postgres stacks, including CI/CD and AWS operations (EC2/ECS, RDS, S3, CloudWatch). Delivered an internal insurance document upload and tracking feature end-to-end, adding audit/history and async processing, then validated success through monitoring metrics and reduced support tickets. Comfortable shipping MVPs in ambiguous environments using feature flags, strong validation, and backward-compatible database migrations.”
Pavithra Kandavel
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and data analytics
“Software engineer with experience at Wipro Technologies and Wells Fargo building React-based SPAs, reusable component libraries, and developer documentation. Demonstrated strong performance engineering (React.memo, list virtualization, code splitting) with reported >50% rendering-time improvement, plus hands-on production support by diagnosing API outages via monitoring/logs and implementing traffic/server fixes. Comfortable leading workstreams in fast-changing environments using Kanban and tight stakeholder feedback loops.”