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Vetted Technical Documentation Professionals
Pre-screened and vetted.
Mid-level Software Engineer in Test specializing in automation and performance testing
Director-level Product & Operations Manager specializing in power grid O&M platforms
Mid-level Cloud Engineer specializing in AWS infrastructure reliability
Executive AI/CTO leader specializing in agentic LLM platforms and enterprise architecture
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Mid-Level Backend Engineer specializing in microservices and high-scale APIs
Mid-level Data Engineer specializing in cloud ETL and real-time analytics
Mid-level Software Engineer specializing in distributed systems and network automation
Senior Full-Stack (MERN) Developer specializing in e-commerce and FinTech platforms
Senior Network Security Engineer specializing in NGFW and VPN troubleshooting
Senior Solutions Consultant / Integration Engineer specializing in enterprise SaaS, payments, and automation
Intern Software Engineer specializing in cloud, backend systems, and LLM-powered tooling
Senior Game Designer specializing in systems, live ops, and monetization
JYOTHI N
Senior Data Scientist specializing in analytics, experimentation, and BI on AWS
“Data/ML practitioner focused on healthcare data quality and record linkage: analyzed 10M+ records, built anomaly detection and NLP-driven entity resolution, and automated AWS ETL/validation pipelines (Glue/Redshift/Lambda), cutting data errors by 40% and generating $500k in annual savings. Has hands-on experience with embeddings (Sentence Transformers/spaCy), FAISS vector search, and fine-tuning for domain-specific matching.”
Vijay Mohan
Executive technology leader specializing in AI, cloud platforms, and enterprise software
“Founder of Braindump (redfly.ai), an AI companion for memory and personal organization, who has already raised $60,000 from Alchemist Accelerator. Brings hands-on experience with customer discovery, technical validation, and VC pitching, and stands out for a first-principles approach to building products with dramatic performance and cost improvements.”
Daniel Jeong
Junior Full-Stack Engineer specializing in real-time platforms and AI tools
“Early-career full-stack engineer with unusual depth in mission-critical environments: helped build a cybersecurity operations platform from scratch as the third engineer and shipped it to the National Election Commission of South Korea. Also worked on defense-focused situational awareness software, combining React/WebGL frontend performance work with backend data transformation for real-time weather and map overlays.”
vidit manglani
Senior Forward Deployed Systems Engineering Leader specializing in AI-native deployments
“Built and productionized an LLM-enabled system visualization web app at Longshot, designed modularly to pivot quickly to a mobile-friendly interface as customer needs changed. Experienced in diagnosing LLM/agentic workflow failures using observability, deterministic replay, and fault-tree root cause analysis. Also delivers developer-focused demos and trainings (including robotics deployment/mapping at Meta) and partners with sales as a technical closer, including for government clients by demonstrating failure modes and system modularity.”
Jenny Cheng
Junior Full-Stack/ML Engineer specializing in LLM applications and cloud deployment
“Full-stack developer with capstone and project experience delivering production-ready systems in unstructured environments, including a Faculty Tracking system for real departmental use. Strong in React performance debugging (re-render optimization with useMemo), Prisma-backed multi-database setups (MySQL local / SQL Server production on a UCI Health VM), and end-user support workflows that feed back into improved Help documentation.”
Syed Daim Ali
Intern Software Engineer specializing in FinTech and AI platforms
“Systems-focused engineer who built an OS kernel with multithreading, priority scheduling, system calls, and synchronization primitives, and debugged race conditions end-to-end. While not yet hands-on with ROS/SLAM, they clearly connect low-level concurrency and scheduling decisions to deterministic, reliable robotics-style real-time workloads.”