By the point most college students have been wrestling with their first coding assignments, Michael Nefedov was already designing algorithms that taught robots how you can transfer. On the Technical College of Munich (TUM), he persuaded his professors to let him tackle a thesis sometimes reserved for graduate college students: making use of Reinforcement Studying to robotic manipulation.
He not solely succeeded but additionally developed a extra revolutionary coaching technique that allowed robots to plan actions at a excessive stage whereas managing the main points of every step, enabling sooner studying and flexibility to new or distinctive conditions. For many, this might be a career-defining achievement. For Michael, it was just the start.
Michael’s résumé is already extraordinary: he has interned at Salesforce and Amazon earlier than the age of 21, secured a DevOps job throughout his first semester, and developed aspect initiatives that shortly developed into startups. But, regardless of standing out in among the world’s most selective corporations, he felt stressed.
“I noticed I didn’t wish to climb the company ladder,” he displays. “Even in these prestigious jobs, I couldn’t see myself there long-term. I wanted to construct.” Construct he did.
His first solo startup, JukeJar, grew to become a “modern-day jukebox” for bars, golf equipment, and occasions. Inside weeks of launching, it was deployed on the Laborious Rock Lodge in New York Metropolis, the place greater than 150 tune requests flowed via his system in a single night time. The expertise cemented his perception within the energy of fast execution. His subsequent enterprise, Fanya, gave creators the flexibility to construct AI voice bots in their very own tone and persona, producing $18,000 in simply three weeks earlier than cost system disruptions stalled its development. These early makes an attempt taught Michael classes in scalability, resilience, and flexibility that might develop into invaluable later.
Michael additionally contributed to Synoptic, a startup utilizing machine studying to investigate public knowledge from social media and information sources. His anomaly detection fashions helped uncover Russian propaganda campaigns on Twitter, work that supported Synoptic’s $15 million funding spherical. This expertise formed his capacity to design techniques that may monitor and reply to surprising knowledge patterns, a ability that now lies on the coronary heart of his AI agent structure.
In 2025, Michael joined forces with Sezer Kemer to discovered OmniSales (OS Restoration). They began out by constructing applied sciences that enabled AI brokers to speak extra reliably with different functions and instruments. They not too long ago determined to use this tech to one of many least glamorous industries possible: debt assortment.
Conventional AI assistants are both too simplistic or too complicated, making them undeployable within the debt assortment vertical. Michael and Sezer went deep to grasp the every day issues of assortment companies and how you can apply their data of expertise to resolve them. Their first answer, a voice AI debt assortment assistant, revolutionizes all the portfolio pricing by unlocking accounts with small balances that have been beforehand uncollectible because of the excessive prices of
human operators. Michael created a scalable and cost-efficient voice assistant that conducts routine calls whereas being human-like. One other widespread problem with AI assistants is their compliance and reliability. Michael overcame this problem by using superior immediate guards and fine-tuning a customized mannequin for id verification. After efficiently deploying their voice assistant to one of many high 10 US credit score unions, Michael and Sezer are actually engaged on portfolio administration brokers to reimagine how debt assortment corporations function.
OmniSales shortly drew investor consideration. Inside per week of launch, the corporate secured $500,000 in funding at a $5 million post-money valuation from one in all France’s high enterprise funds. Each Michael and Sezer left college to dedicate themselves totally to the platform. For
Michael, OS Restoration represents the fruits of years of iteration, from robotics and anomaly detection to client apps and AI voice expertise.
“Startups are about testing concepts quick, however this one feels totally different,” he displays. “It’s not simply expertise for the sake of it. It’s fixing actual issues for a lot of companies in a multi-billion-dollar business.
Michael Nefedov’s story is about greater than technical ability. It’s about daring to go away prestigious paths, embracing the scars of failure, and relentlessly pushing the boundaries of what AI can do. From robotic studying at TUM to scalable AI at OS Restoration, his journey exhibits what occurs when a proficient and excellent engineer refuses to accept atypical options.
Have you ever learn?
International locations with the Highest Age Dependency Ratio.
Finest International locations to Disguise Cash.
World’s Most Productive International locations.
International locations by Common Wealth per Particular person.
International locations With The Most Serial Killers.
Copyright 2025 The CEOWORLD journal. All rights reserved. This materials (and any extract from it) should not be copied, redistributed or positioned on any web site, with out CEOWORLD journal’ prior written consent. For media queries, please contact: data@ceoworld.biz
