Vetted Software Engineers

“Open-source JavaScript library contributor/maintainer focused on performance and usability—uses profiling and user feedback to optimize large-dataset processing and modernize abstractions. Refactored a nested-callback event handling system into an observer-pattern dispatcher with batched event queues, reducing CPU usage and improving maintainability; also handles community-reported crashes by reproducing issues, fixing memory leaks, and updating docs.”

“Backend engineer/technical lead with experience building and operating real-time blockchain analytics systems at Merkle Science. Owned high-traffic Django/DRF services and Kafka streaming pipelines processing millions of events daily, with deep focus on performance (N+1 fixes, indexing, caching) and reliability (DLQs, retries, monitoring). Also led containerization and Kubernetes/GitOps-style CI/CD on Google Cloud, including a migration off Google App Engine to reduce cost and improve scalability.”

“Backend/platform engineer who owns policy-lifecycle workflow microservices built in Python/FastAPI with async + DDD, Kafka event processing, SQLAlchemy, JWT/RBAC, and Redis caching (cut DB load ~40%). Experienced deploying Java and Python microservices to Kubernetes with Helm and GitOps (ArgoCD) plus Jenkins/GitHub Actions pipelines to AWS/ECR, and has supported phased on-prem-to-cloud migrations with dependency mapping and data consistency strategies.”

“University hackathon finalist (2nd place) who built CareerSpark, a production-style multi-agent career guidance app in 24 hours using a hierarchical debate architecture with a moderator/judge agent. Has startup internship experience at LiveSpheres AI using LangChain for multi-LLM orchestration, and demonstrates a structured approach to testing/evaluation (golden sets, integration sims, latency/accuracy KPIs) plus strong non-technical stakeholder communication.”

“Robotics engineer with hands-on experience scaling a multi-vendor heterogeneous warehouse robot fleet, building a distributed “traffic manager” for collision avoidance and real-time rerouting using CBS/MAPF and DCOP-style negotiation. Strong real-time/safety-critical systems background (RTOS, deterministic lock-free multithreading) plus modern perception and simulation tooling (CNN-LSTM/transformers, CARLA/Isaac Sim, VIO/GTSAM, camera-IMU calibration). Startup-oriented and comfortable moving quickly from prototype to production.”

“Hands-on backend/AI engineer who solo-built two production Claude-based agent systems: an internal Slack RAG over Confluence/Jira/code/regulatory docs and a HIPAA/GDPR-compliant patient chatbot with embedding guardrails and expert-in-the-loop evals. Also architected a multi-region patient portal + microservices platform with Terraform/CI-CD and federated gateways, delivering major onboarding automation and strong reliability wins (PgBouncer, chaos/perf testing).”

“Full-stack engineer who shipped a production "Financial Insight" assistant dashboard in Next.js App Router/TypeScript, integrating a RAG pipeline (embeddings + ChromaDB + LLM) via route handlers and owning post-launch performance (latency, token cost, retrieval relevance). Also built/optimized Postgres-backed workflows for an outbound dialer and callback routing engine handling ~10,000 daily contacts, validating query performance with EXPLAIN (ANALYZE, BUFFERS).”

“Serial entrepreneur since leaving corporate in 2009, working largely for equity on multiple startups. Building (1) academically rigorous, anti-overfitting quant/backtesting tools for retail investors (with potential applicability to smaller hedge funds lacking quant staff) and (2) a partner-led “social-as-a-service” platform for verticals like real estate/PropTech (including FSBO use cases) focused on first-party data capture vs. big tech.”

“Full-stack engineer with startup experience who owned an end-to-end rebuild of a production analytics page at VideoNest (Next.js/TypeScript frontend, FastAPI/Python backend, Postgres), including third-party data ingestion/sync and query/index optimization; the feature reached 2,500+ users and received positive feedback from large clients. Also built a habit/community mobile app (Celeri) with near-real-time step updates using polling and UI optimizations like pagination and selective re-rendering.”

“Data engineer focused on AWS-based enterprise data platforms, owning end-to-end pipelines from multi-source batch/stream ingestion (Glue/Kinesis/StreamSets/Airflow) through PySpark transformations into curated datasets for Redshift/Snowflake. Emphasizes production reliability with strong monitoring/observability and data quality gates, and reports ~30% performance improvement plus improved SLAs and latency after optimization.”

“Data/analytics engineer who owned Angi’s service-request funnel event pipeline end-to-end, routing events server-side to bypass ad blockers and recovering ~15% lost tracking at millions of events/day. Built Snowflake/dbt reporting tables powering Looker dashboards, with strong emphasis on validation, monitoring/alerting, and safe schema evolution. Also shipped a reusable flow state management backend service with TTL storage, CI/CD, and developer-friendly APIs.”

“Backend engineer focused on cloud analytics/cost-optimization systems, with strong AWS-centric architecture experience (serverless Lambda, ECS, CloudWatch). Demonstrated deep PostgreSQL/SQLAlchemy optimization at million-record scale (including JSONB/GIN indexing) and built production ML inference services with S3-based model versioning and Airflow retraining pipelines. Also has hands-on multi-tenant SaaS design (separate schemas + RLS) and high-throughput background processing using Celery/Redis with measurable performance gains.”

“Data/QA-focused professional with experience at Lonza and Jio Platforms, owning end-to-end data reliability work for QC forecasting (SAP/LIMS) and driving root-cause/corrective actions for recurring environment configuration issues. Strong in SQL-based data standardization/validation, requirements tightening for API consistency, and coordinating multi-workstream delivery using Jira/Azure DevOps.”

“Unity/C# VR developer who shipped core UX infrastructure (a reusable Toast Manager) used for state-change/error/CTA notifications, designed to be easily consumed by other engineers via a one-line API. Has shipped on Meta Quest (Adobe Substance 3D Reviewer) and built cross-platform controller mappings with Unity Input Actions, emphasizing event-driven performance and profiling. Worked alongside a Photon networking lead to integrate gameplay/UI systems with multiplayer synchronization patterns (ghost players/drift correction).”

Vedang Jadhav

Screened

Mid-Level Software Engineer specializing in cloud-native microservices on AWS

New York City, NY5y exp

“Backend engineer with experience across healthcare and fintech platforms (Anthem, Citia) building high-throughput Python microservices with strong compliance/security focus (HIPAA, tenant isolation). Has integrated ML workflows into production systems (ResNet embedding-based image similarity) using async pipelines (Celery/Redis) and AWS (Lambda/S3/ECS), delivering measurable performance and fraud/content-integrity improvements at scale.”

vineetha Pulipati

Screened

Mid-level Software Engineer specializing in backend microservices and cloud data pipelines

MO, USA4y exp

“Backend engineer with Morgan Stanley experience building and owning an end-to-end Python FastAPI microservice for high-volume market data used by trading and risk systems. Strong in performance tuning and reliability (PySpark, Redis caching, async APIs), real-time streaming with Kafka, and production operations (Docker/Kubernetes, GitOps-style CI/CD, monitoring). Has led cloud/on-prem migration work across AWS and Azure, including fixing Azure Synapse performance issues via query and pipeline redesign.”

Tina Nguyen

Screened

Mid-Level Software Engineer specializing in iOS and full-stack development

Sunnyvale, CA3y exp

“Cross-platform (web + mobile) product engineer working on coupon clipping experiences. Built and shipped category-based filtering informed by external market data (Rakuten/Honey) and internal user-journey analytics, validated via A/B testing and resulting in a 30% traffic lift. Experienced handling on-call production incidents, including rapid root-cause analysis and hotfixing a mobile crash that was blocking a release.”

RAJ KUMAR

Screened

Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices

Chicago, IL6y exp

“Backend engineer at Discover who built and scaled Python/Flask services for a card dispute resolution platform, tackling long-running external network validations with Celery+Redis and delivering measurable gains (response time ~3s to <300ms; throughput +40%). Experienced in high-scale PostgreSQL/SQLAlchemy optimization (partitioning, read replicas, N+1 avoidance), event-driven systems with Kafka, and integrating ML fraud detection using AWS SageMaker/Lambda/ECS with clear separation of real-time vs batch processing.”

Aishwarya Yenumula

Screened

Mid-level Full-Stack Java Engineer specializing in microservices, React, and Azure

Austin, TX5y exp

“Full-stack engineer with hands-on ownership of a real-time loyalty rewards notification system at Dell, spanning React UI, Spring Boot/Node microservices, Kafka event processing, and Oracle/Postgres persistence. Strong production operations experience across AKS/Azure DevOps and AWS (EC2/RDS/S3, autoscaling, CloudWatch), including resolving peak-load Kafka lag and API latency incidents through scaling and performance tuning.”

Venkat Palaparthi

Screened

Senior Software Engineer specializing in cloud-native microservices and secure enterprise platforms

Dallas, TX6y exp

“Full-stack engineer with strong production ownership in banking/identity & entitlements systems, building Spring Boot + Postgres/Redis services and React dashboards, then deploying on AWS EKS with Jenkins CI/CD. Demonstrated impact through reduced authorization latency and fewer access-related support tickets, plus strong observability and reliability practices (CloudWatch, tracing, autoscaling, Kafka pipelines with DLQs and reconciliation).”

Kwadwo Poku

Screened

Mid-level Full-Stack Software Engineer specializing in FinTech and cloud platforms

Yonkers, NY3y exp

“Software engineer who built and launched an end-to-end Ad Scheduler that automated campaign creation across Google Ads and Meta using Azure Functions/Service Bus, PostgreSQL, and a React frontend—reducing manual marketing ops work. Also shipped a production internal RAG chatbot leveraging a data warehouse + Cube semantic layer, Gemini embeddings, vector search, and Claude, with Langfuse tracing and brand-based access controls; work was cut short due to layoffs.”

Abhishek Saraswat

Screened

Mid-level Software Engineer specializing in Java backend microservices

Arlington, TX4y exp

“Backend/distributed-systems engineer focused on automation and near-real-time processing, building Java/Spring Boot microservices with Kafka, PostgreSQL, and AWS. Strong in scaling and reliability work—debugging tricky asynchronous messaging issues (delays, duplicates, out-of-order events) and improving resilience/observability with retries, fallbacks, logging, and monitoring. No production ROS/ROS2 experience yet, but has studied core ROS concepts and draws clear parallels to event-driven architectures.”

Teage Johnson

Screened

Junior Full-Stack Engineer specializing in FinTech and machine learning

California, USA3y exp

“Software engineer at early-stage startup Cari with hands-on experience shipping AI-enabled production workflows, including an LLM chatbot for a micro-transit platform and an automated image-processing pipeline integrated with Claude. Stands out for combining practical agent reliability patterns—schema validation, fallbacks, caching, and idempotency—with strong ML evaluation instincts and experience cleaning messy operational invoice data.”