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Vetted Sprint Planning Professionals
Pre-screened and vetted.
“Backend developer (recent co-op at Ticker) building and architecting financial backend services with near real-time data needs, including third-party API integrations. Improved performance and reliability via Redis caching (tiered refresh + TTL) and PostgreSQL query tuning (EXPLAIN ANALYZE + composite indexes), and has exposure to AI-agent/RAG concepts for validating stock-market information against trusted sources.”
Jason Sipula
Executive Technology Leader & Strategic Architect specializing in cloud-native platforms
“Technology leader with experience driving multi-year transformations at Jewelry Supply, including migrating a legacy custom e-commerce platform to SaaS and leading a 3-year ERP program from requirements through implementation and training. Also led a major architecture shift from self-hosted virtualized infrastructure to cloud Kubernetes with a strong DevOps/DevEx focus, emphasizing stakeholder buy-in and scalable processes for distributed engineering teams.”
Anupam Sistla
Intern Software Engineer specializing in full-stack development, cloud, and automation
“Robotics software engineer who built an autonomous debris-clearing rover software stack end-to-end using ROS 2, Python/OpenCV, and YOLOv3, with strong emphasis on real-time reliability (latency instrumentation, stale-data handling, watchdog fail-safes). Also implemented a Docker CI/CD deployment system for remote Raspberry Pi timelapse devices, distributing updates via AWS S3 to handle intermittent connectivity.”
Tracy Nguyen
Mid-Level Software Engineer specializing in Front-End Web Development
“Frontend engineer with React + TypeScript experience building internal dashboards and a nonprofit festival website delivered end-to-end in 6 weeks. Emphasizes scalable quality practices (documentation ownership, code reviews, CI/CD, testing) and user-centered delivery, including accessibility, multilingual support, and enabling non-technical stakeholders to update content.”
Mikhail Sharapov
Senior Game Designer specializing in gameplay systems, progression, and mobile core loops
“UE5 gameplay/animation scripter who built a shipped, data-driven modular third-person locomotion framework primarily in Blueprints, owning animation blueprint logic, movement-state architecture, and designer-facing tunables. Addressed shipping-quality issues like animation popping/state desync under rapid direction changes and network-latency simulation using buffered transitions, velocity smoothing, and debug visualization, while aligning data flow/ownership with engineering, animation, and QA.”
Kingsley Torlowei
Senior Software Engineer specializing in AI systems and data platforms
“Built and productionized LLM agents that ingest multi-source workplace data (Slack, meetings, calendars, PM tools) to extract entities (tasks/decisions/risks/initiatives) and generate customer insights like risk alerts, deadline-miss prediction with evidence, and workload overload detection. Also architected a graph-DB-backed multi-step agent using LangChain + Pydantic with async queue/worker execution and LLM-as-judge evaluation plus human review loops.”
Yashaswini Mohan
Mid-level Product Manager and Software Engineer specializing in data-driven product execution
“Product professional with 4 years spanning software engineering, program management, and product execution, who led a 0-to-1 AI education product focused on student engagement. Drove AI Academy from ambiguous vision to MVP across 6 sprints, aligning faculty, students, and engineers and reporting 70% user participation.”
“Frontend engineer who built the SparQVO customer portal dashboard in React and TypeScript, integrating business data across systems while owning authentication, caching, filtering, and UX reliability. Particularly strong in production dashboard performance work, including cache design, request cancellation, and clean separation between API/data logic and UI components.”
“Game design capstone project owner who built and tuned a full steal/sell/upgrade progression economy for a house-robbery game, including item weight/value balancing, upgrade pacing, and difficulty gates (police/NPC detection). Iterated via playtests and basic telemetry signals (purchase rates, item selection) and implemented a code-driven item attribute system to speed tuning, while also negotiating scope tradeoffs with the team around adding minigames.”
Sangat Shah
Mid-Level Full-Stack Engineer specializing in AWS serverless and React/Node.js
“Backend engineer who built and evolved a serverless AWS platform for large-scale live screening events with real-time chat/feedback and streaming (API Gateway/Lambda/DynamoDB/WebSockets/IVS, IaC via Pulumi). Led production refactors and phased migrations using feature flags and dual-write strategies, and has hands-on experience implementing JWT auth, RBAC, and database-enforced row-level security for multi-tenant systems.”
Saraswati Ghimire
Mid-level Project Manager specializing in digital transformation and cloud migration
“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.”
Irina Morris
Senior Full-Stack Engineer specializing in scalable web platforms and cloud migrations
“Full-stack architect/engineer with startup and Meta experience who built a real-time school safety and lockdown coordination platform used by schools and emergency organizations. Particularly compelling for roles requiring ownership in ambiguous environments, real-time systems design, and configurable B2B SaaS platforms in high-stakes domains.”
Sunayana Rongali
Junior Marketing Specialist specializing in AI-powered performance and lifecycle marketing
“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.”
Sowmya Mutya
Junior Software Engineer specializing in Cloud & Distributed Systems
“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.”
Sahana Mudduluru
Mid-level Full-Stack Engineer specializing in cloud-native FinTech analytics
“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
Mid-level Product & QA Specialist specializing in FinTech payments and growth
“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
Executive Technology & Operations Leader (CTO/COO) specializing in scaling SaaS and enterprise software
“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
Junior Full-Stack Engineer specializing in LLM-powered products
“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
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
“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.”
Stephanie Freedman
Senior product specialist specializing in FinTech, legal tech, and enterprise SaaS
“Product leader with experience rebuilding fintech/legal-tech products through direct customer research, especially in credit and restructuring workflows. She has shipped an NLP-driven restructuring risk product for public companies, improved adoption through UX simplification and training, and has worked across users ranging from junior analysts to law firm partners and managing directors.”
Dan Hartley
Senior Software Engineer specializing in full-stack platforms and AI-powered systems
“Full-stack engineer with startup SaaS experience building workflow automation and case management platforms for business operations teams. Strongest in Python, TypeScript/React, and PostgreSQL, with hands-on ownership from backend architecture and APIs to production deployment on AWS; notably helped reduce manual processing and improve customer turnaround times in a high-ambiguity scaling environment.”
Vinay Machha
Junior Full-Stack Developer specializing in React, AI, and cloud applications
“Frontend engineer with hands-on experience building a real-time financial market dashboard at FinSight AI, handling 30+ live data streams with React, TypeScript, WebSockets, and performance-focused rendering patterns. Stands out for measurable production impact, including a 70% reduction in unnecessary re-renders, plus strong real-time visualization and UX optimization experience.”