Vetted Sprint Planning Professionals

“Project manager at Cognizant with hands-on experience leading cloud migration and infrastructure modernization initiatives through structured governance gates from planning to production rollout. Stands out for building disciplined review, comment-tracking, and change-control processes that reduced rework, recovered slipping workstreams, and improved delivery quality across cross-functional teams.”

“Growth-creative/performance marketer who owned end-to-end paid social creative testing for Shoebacca’s seasonal footwear launch, driving ~22% CPA reduction and ~30% ROAS improvement by shifting from product-focused ads to UGC with stronger early hooks and clearer value messaging. Experienced translating platform-specific performance signals into modular creative iterations across Meta, TikTok, and YouTube, and aligning performance + creative teams via structured briefs and weekly review cadences.”

“Full-stack intern at Rebel who owned backend work on a cross-platform music platform using Python/Django with MongoDB, implementing user-focused REST APIs end-to-end. Also built CI/CD pipelines (Jenkins/GitHub Actions) to containerize and deploy to AWS, and has experience integrating Kafka-based real-time event processing with reliability and observability practices.”

“Full-stack/ML-leaning engineer who has shipped production-grade real-time analytics and an internal AI support assistant using RAG over enterprise documentation. Demonstrates strong systems thinking across scalability, reliability, observability, and LLM safety/evaluation (thresholded retrieval, RBAC, response validation, regression-gated evals), with concrete iteration based on performance metrics and user feedback.”

Muhammad Mufti Aziz

Screened

Mid-level Product & QA Specialist specializing in FinTech payments and growth

London, UK6y exp

“QA tester with console game experience across PlayStation/Xbox/Nintendo, focused on online multiplayer stability and monetization/reward flows, with pre-launch defect prevention. Brings a regulated fintech compliance-testing background and applies structured triage, SQL-based server/client validation, and AI-assisted workflows to accelerate coverage and debugging.”

Mark Eagle

Screened

Executive Technology & Operations Leader (CTO/COO) specializing in scaling SaaS and enterprise software

Denver, Colorado29y exp

“Operations leader and advisor (former COO at College Partnership; also worked with Founders Advisors) who rebuilds and scales early-stage operations using Lean Startup experimentation and KPI-driven execution. Notably centralized a call-center function, implemented scripts/SLAs/metrics, and iterated staffing based on conversion and response-time data while mentoring non-ops founders on MVPs, SMART goals, and tactical operating plans.”

chandankumar ramamurthy

Screened

Junior Full-Stack Engineer specializing in LLM-powered products

Washington, D.C.3y exp

“Built multiple systems from scratch at DSSD and Aglint, including an NGO sustainability reporting dashboard and a production LLM-powered phone screening agent using Twilio/Retell AI with RAG grounded in PostgreSQL candidate/job data. Strong focus on real-world reliability: guardrails, monitoring, and lightweight eval/regression loops that reduced recruiter score overrides by ~30%. Currently on OPT through May 2026 (plans STEM OPT extension) and committed to relocating to NYC for in-person work; seeking $90k–$120k base with meaningful equity for founding engineer roles.”

Nagendra Reddy Palugulla

Screened

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps

Florida, United States4y exp

“Built and shipped a production real-time content moderation platform for Zoom/WebEx-style meetings, combining Whisper speech-to-text with fast NLP classifiers and REST APIs to flag hate speech, bias, and HIPAA-related content under strict latency constraints. Demonstrates strong MLOps/infra depth (Airflow, Kubernetes, Terraform/Helm, observability) and a pragmatic approach to reducing false positives via threshold tuning, context validation, and hard-negative data—while partnering closely with compliance and product stakeholders.”

“Software candidate with hands-on experience using AI as a productivity multiplier across architecture, refactoring, testing, and code review. Has worked with LangChain-based multi-agent workflows to decompose complex engineering tasks for parallel execution, showing practical familiarity with emerging AI-native development patterns.”

“Backend engineer focused on real-time, event-driven systems (Java microservices) handling high-frequency data with low-latency and reliability requirements. Strong in Kafka-based asynchronous architectures, Redis caching, JVM/query tuning, and scalable deployments on Docker/Kubernetes with Jenkins CI/CD; no direct ROS/robotics experience but has closely related distributed communication patterns.”

“Unity VR multiplayer developer who shipped Titan Isles (Quest & Steam) and owned most networked gameplay features. Prioritized and delivered a New Game Plus feature in the first post-launch patch based on creator/review feedback and analytics, supported by automated Unity tests and live-ops triage via Unity Diagnostics and Shortcut.”

“Built a production Apple-focused LLM Q&A bot that answers user issues using similar past discussion records, including large-scale scraping and cleaning of thousands of forum threads. Used BeautifulSoup + Playwright for static/dynamic extraction, PySpark + NLP for preprocessing, and LangChain RAG with a custom response-likeliness metric to evaluate performance.”

“Frontend-focused engineer with internship experience at eXp Realty and Pulse InfoFrame, building survey platforms and a drag-and-drop survey management UI in React + TypeScript. Notably helped execute a post-deployment migration from DynamoDB to Amazon RDS to enable scalable SQL aggregation (tested with ~70k survey instances), and monitored rollout via CloudWatch/Cloudflare logs while driving QA and load testing.”

“Full-stack engineer with recent enterprise experience building Spring Boot/Spring Cloud microservices on AWS (Lambda, S3, DynamoDB) and a React/TypeScript frontend. Has hands-on experience solving microservice communication timeouts via API Gateway/load balancing and implementing centralized JWT-based security, plus performance work for large data workloads using indexing, caching, and async processing.”

“India-based engineering leader/player-coach managing ~20 people and three products, while still shipping hands-on in Python/Golang across 8–10 microservices deployed on GCP (Kubernetes) and AWS (ECS). Has led end-to-end delivery (design through QA) and owned production reliability improvements (including building a Slack alerting bot). Strong domain exposure in utilities (MDM/meter readings, billing/rate calculations) and financial integrations (GL code tagging), plus side projects in Golang around LLM API cost-optimization.”

“QA professional with end-to-end ownership who combines automated, rule-based data validation (expected vs actual) with structured CAPA practices (5 Whys, Pareto, SOP updates, in-line checks, and hands-on training). Experienced coordinating multi-workstream QA timelines via centralized dashboards, weekly cadence, and escalations with third-party/global stakeholders.”

“Built production LLM-powered mobile apps using OpenAI APIs on a serverless Firebase/Google Cloud Run stack, including a prayer app serving global users across five major religions with customized prayer generation. Stands out for adding reconciliation and scoring layers to validate non-deterministic AI outputs before showing them to users, and for iterating prompts based on logged failure patterns.”

“Senior-level software engineer who uses AI pragmatically rather than blindly—leveraging Microsoft Copilot and LLMs for boilerplate, utility functions, and reusable React components while rigorously reviewing output for readability, reuse, and fit with project structure. Brings a strong maintainability mindset and prior experience reviewing code for junior engineers.”

“Built and launched his own free-to-play mobile trivia games (Unity/Xcode/Android Studio), monetizing through IAPs and multiple ad networks (AppLovin/Chartboost/AdMob). Combines hands-on implementation with growth and analytics rigor—Facebook Ads + ASO, and daily tracking of retention, crashes, conversion, and LTV:CAC—plus a clear approach to A/B testing and live events tooling.”