S
Sourabh Kalra
@Sourabhkalra
update designation
I build applied AI systems that help people scale complex work without losing control. My ideal work is prompt systems engineering—designing production-ready, human-in-the-loop AI workflows that turn human judgment into structured, repeatable processes. These systems are built to protect tone, intent, and quality, and to work reliably for non-technical teams in real operating environments. Alongside this, I work on AI-driven automation, agents, and content systems where the focus is not experimentation, but practical usefulness—reducing manual effort while keeping humans in the decision loop. I’m currently open to collaborating on projects where AI needs to be reliable, safe, and integrated into real workflows.
Sourabh Kalra
AI-Driven YouTube Automation Framework
Description: An end-to-end AI automation framework designed to run scalable YouTube channels with minimal manual effort. The system automates video ideation, scripting, narration logic, visual direction, and publishing workflows, enabling consistent content production without a traditional team. Problem Fixed: Content production for YouTube often relies on disconnected manual processes, making it difficult to sustain consistency, speed, and scale—particularly without a dedicated team. Outcome Achieved: This AI driven automation framework unifies ideation, scripting, narration, visual direction, and publishing into a repeatable pipeline, enabling faster production, consistent quality, and scalable channel operations with minimal manual effort.
Sourabh Kalra
Ai Outreach Agent for Jobseekers
An AI-powered automation that scans the job market, ranks opportunities, and executes personalized outreach—end to end. Problem it solves: Job searching is typically unstructured, time-intensive, and mentally draining, with low feedback and unclear progress. This system transforms it into an automated, data-driven workflow where effort is focused, progress is visible, and opportunities are ranked by real relevance—not guesswork. Outcome: The agent functions like a personal job-search operator—reducing manual effort, improving outreach quality, and allowing the user to focus on preparation and decision-making rather than repetitive execution. Overview: This is a working automation system designed as a chat-driven AI agent to assist jobseekers. It provides end-to-end outreach automation by: Analyzing the user's resume to extract skills. Identifying relevant job opportunities from the live market. Prioritizing jobs based on skill relevance using Gemini. Generating personalized outreach emails. Executing outreach with user approval (Human-in-the-Loop design). Tracking applications and providing market coverage summaries via Telegram.
You've reached the end of the list