Vetted Problem Solving Professionals

Haritha Peddi

Screened

Mid-level SOC Analyst specializing in SIEM detection, threat hunting, and incident response

USA5y exp

“Backend/AI engineer with production experience in payments/reporting systems and high-scale Node/NestJS services on AWS (ECS/ALB) using PostgreSQL, Redis, Kafka, Prisma, and Datadog. Shipped applied AI features including a Zendesk-embedded support copilot (summarization, draft replies, internal doc retrieval, playbook next steps) and an LLM-driven ops workflow agent with robust error taxonomy, retries/escalation rules, and auditability.”

“Backend engineer with hands-on ownership of production FastAPI systems, from containerized deployment and reverse proxy setup through operations, reliability metrics, and future-state scaling plans. Also brings applied ML experience, having built and integrated a custom CNN-based fruit classification system with confidence-based human review safeguards.”

“Full-stack/AI engineer who has shipped production systems spanning real-time analytics dashboards and an internal LLM-powered knowledge assistant. Experienced with RAG pipelines (embeddings/vector DB, semantic retrieval, query rewriting) plus evaluation loops and guardrails, and builds observable Kafka-based data pipelines monitored with Prometheus/Grafana.”

“Senior full-stack engineer with strong healthcare domain experience who has shipped an Azure OpenAI RAG-based patient medication support chatbot to production, driving ~10K queries/month and a reported 38% reduction in call center volume. Also builds polished real-time React/TypeScript pharmacy tooling and operates large-scale Python/Spark ETL pipelines (~12M records/day) with strong API design, observability, and cloud deployment experience across Azure/Kubernetes and AWS.”

“Growth-creative lead focused on scaling paid acquisition profitably across Meta and Google (Search/PMax), with a rigorous testing approach that isolates creative impact and uses ROAS/CPA decision rules tied to breakeven thresholds. Strong in translating performance signals (drop-off, hook effectiveness, audience shifts) into concrete edit lists and modular UGC/influencer-driven creative systems for rapid iteration across Meta, TikTok, and YouTube.”

“Frontend engineer focused on scalable React/Redux + TypeScript applications, with hands-on experience designing reusable component architectures, improving performance (reducing re-renders, streaming API calls), and hardening maintainability through standardized styling and unit tests. Has shipped deadline-driven dashboard features (e.g., filters) using Agile practices and Jira to manage QA and client feedback.”

“AI/ML engineer (Merkle) with hands-on experience deploying RAG-based LLM applications and real-time recommendation engines into production. Strong in cloud/on-prem architectures, GPU autoscaling, caching, and network optimization—delivered measurable latency reductions (40–70%) and improved retrieval relevance by systematically benchmarking chunking/embedding configurations and validating pipelines via CI/CD.”

“Greater Boston-based videographer with foundation and brand experience (Milken Family Foundation, Kia) spanning social-first YouTube content, live-event b-roll, green-screen interviews, and conference audio capture. Comfortable as a lean two-person crew, known for fast on-the-fly shot planning and strong technical command across major cinema camera ecosystems, DJI stabilization, pro audio recorders, and extensive lighting/grip setups.”

“Mission/narrative designer with shipped VR experience on Lone Echo II, including designing and tuning a generator mission and its transition into a branching choice/free-exploration structure. Also builds UE5 Blueprint prototypes for narrative adventure concepts ("Runt"), implementing interaction-driven cinematics and iterating on camera pacing and character writing.”

“Unity VR developer who has shipped on Meta Quest, including Metro Awakening (Steam Awards 2024 VR Game of the Year) as an AI Programmer, focusing on performance-critical multi-agent AI optimization (EQS/HTN) for Quest 2. Also shipped Final Fury, taking ownership across gameplay, UI, networking (sync mechanics), and AI on a small team, and built a data-driven gesture/move system for VR fighting prototypes.”

Usamah Paul

Screened

Mid-level Product Launch Administrator specializing in global e-commerce sports releases

Manchester, United Kingdom8y exp

“Web product lifecycle professional with hands-on experience taking licensed sports merchandise from start-to-finish and publishing it live on a website. Tracks operational throughput and content/catalog health via daily/weekly metrics (products processed, image sourcing/uploading, catalog updates) and applies structured planning for event timelines.”

Vivekananda Reddy

Screened

Mid-Level Full-Stack Software Engineer specializing in Java, React, and AWS

Dallas, TX4y exp

“Backend engineer focused on cloud-native microservices on AWS, owning Python/Flask ingestion services integrated with S3/Lambda and deployed via Docker/Kubernetes with CI/CD. Has led phased migrations from manually managed EC2 setups to automated CloudFormation + pipeline-driven releases, and designed event-driven near-real-time pipelines with idempotency, retry/backoff, and strong observability.”

Sai Nikhil Kanchukatla

Screened

Senior Software Engineer specializing in Golang microservices and IAM/SSO

Dallas, TX6y exp

“Backend engineer with experience at DigitalOcean and BNY Mellon, specializing in secure, highly available authentication and API platforms. Built an enterprise SSO system integrating Okta via OIDC with resilience patterns (gRPC contracts, circuit breakers, Kafka) and strong encryption, and led a careful monolith-to-Golang microservices migration using shadow traffic, dual writes, and feature flags to preserve data integrity.”

Bhavishyasai Chigurupati

Screened

Mid-Level Data/ML Engineer specializing in Generative AI and cloud data platforms

Overland Park, KS5y exp

“Built and productionized an LLM-based financial document analysis system using a RAG pipeline, including robust ingestion/chunking/embedding workflows, vector DB retrieval, and an AWS-deployed FastAPI service containerized with Docker. Demonstrates strong applied expertise in improving retrieval quality and latency at scale, plus hands-on experience debugging agentic/LLM workflows with monitoring and trace-based analysis while supporting demos and customer-facing adoption.”

“Analytics professional with University of Florida experience in occupational health reporting, including bloodborne pathogen and needlestick exposure programs. Stands out for turning messy healthcare operational data into trusted, analysis-ready reporting assets using SQL and Python, while partnering closely with stakeholders to define reliable metrics and improve operational oversight.”

“Worked on a CVS Health project transforming large healthcare claims data from databases and APIs into clean reporting tables and Power BI dashboards. Brings hands-on experience in SQL, Python automation, data validation, and stakeholder-driven metric definition for analytics workflows.”

“Frontend-focused candidate with hands-on experience building and refining browser-based operational dashboards for internal business users. They stand out for practical UI performance optimization work—debugging DOM/rendering bottlenecks, simplifying complex table structures, and improving usability based on direct user feedback.”

“Backend/data engineer with hands-on AWS data platform work (S3 + Glue + Lambda/Step Functions) and Kubernetes GitOps delivery (Argo CD + GitHub Actions). Has led ingestion and transformation of semi-structured event data, built internal APIs for ETL operations/monitoring, and implemented Kafka-based near-real-time streaming with enrichment and Elasticsearch for search/analytics, plus experience supporting an on-prem ERP migration to AWS.”

“Executive/engineering leader with 18+ years at an established company who helped turn a top-3 telco data opportunity into meaningful revenue and a continuing partnership to launch new data-driven products. Brings a security/privacy-first approach (compliance assessments and documentation) and a structured North Star + technical planning method for building with limited resources; interested in joining an early-stage founding journey with the right vision and team.”