Chandrashekhar B.

Need training data that doesn't exist as a clean download? That's what I do. 400+ TB sourced and over 5020 AI responses evaluated, 1000+ adversarial attacks carried out on an AI model, and 286,000 verified YouTube videos pulled through active bot defenses, 1.3 million government PDFs scraped and validated. I get the data, and I prove it arrived intact. WHAT I ACTUALLY DO You need 80,000 hours of video in a specific condition. Or two million records refreshed weekly. Or a corpus spread across 14 sources, half of them gated, in five formats, with licensing you can defend later. I own that whole problem end to end: - Source discovery: which datasets and sites actually hold what you need, what the licence allows, what it costs to get - Acquisition at scale: resumable downloads, bot-defence handling, rate limits, multi-week jobs that survive failures - Validation: manifests, checksums, corrupt and zero-byte detection, dedupe, split reconciliation - Organisation and documentation: clean structure, JSONL logging, provenance you can hand to a lawyer or an auditor - The human layer when data needs judgement: annotation QA, golden sets, inter-annotator agreement, reviewer management PROOF - 400+ TB of image, video and audio training data acquired, verified and organised for an AI research team, including 11.4 million files extracted from a single corpus and one corrupt source file caught before it reached training - 286,000 YouTube videos downloaded through active bot challenges; scraper committed to the client's repo and reused on later projects - 1.3 million U.S. government PDFs collected, verified and stored in AWS S3 with a 25-person team, after fully automated extraction proved not accurate enough - $28,999 across 1,318 hours evaluating 5020+ AI model responses at scale - $23,790 single fixed-price data aggregation contract - Long-term work with Microsoft, Adobe, Google, Appen, Mercor, and DataAnnotation.tech - $180K+ earned on Upwork, 105 jobs, 5,000+ hours, 100% Job Success, Top Rated Plus WHAT I DON'T DO - I'm not a backend engineer or an ML researcher. I don't build models, I build the data they train on. - I don't do $200 one-off scrapes. Fixed-price work starts at $2,500. - I don't hand you a script and disappear. If it breaks in week six, I'm still the person who fixes it. HOW I WORK Most engagements start with a small paid scoping pass: I tell you where the data is, what it costs to get, and what the risks are, before you commit to the build. Then either a fixed-price acquisition programme or ongoing hourly work. I overlap 6+ hours with US business hours and reply within 4 hours. I run a small vetted team when a job needs review capacity at volume, but I'm the person who scopes, builds, and stays accountable on your contract. Tell me what data you need and what you've already tried. If it's not something I can do well, I'll tell you.