Atul Kumar Singh
@atulkumarsingh2
I build machine learning and AI systems for vision, voice, and automation.
IndiaWhat I'm looking for
I've built machine learning systems for brain tumor detection, including a U-Net segmentation model trained on 57,000+ BraTS2020 MRI slices that achieved a 0.871 Dice coefficient. I also deployed a VGG16 classifier reaching 85.25% accuracy across four tumor classes.
Through projects such as FRIDAY and Avery, I've developed voice AI assistants that combine speech recognition, NLP, vector memory, real-time streaming, external APIs, and agentic tools. My work includes multilingual voice experiences, Gemini integrations, WebSockets, guardrails, and sub-second response latency.
I've also built KredoxAI, a full-stack fintech system automating video-based loan onboarding, verification, risk scoring, and offer generation. I'm completing a B.Tech in Computer Science and Engineering and am seeking opportunities to build practical ML, AI, and data products.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Cognitive
Jan 2026 - Present (8 months)
Engineered a U-Net segmentation model on 57,000+ MRI slices achieving a Dice coefficient of 0.871 and deployed a VGG16 classifier with 85.25% accuracy.
AI/ML Engineer
Friday
Jan 2026 - Present (8 months)
Developed an AI voice assistant integrating 60+ features with voice recognition, NLP, and autonomous task execution, and integrated 4 external APIs with smart rate limiting.
AI/Full-Stack Engineer
Avery
Jan 2026 - Present (8 months)
Engineered a real-time voice AI travel assistant using Gemini Live API with sub-1-second response latency and implemented secure server-side token-minting and guardrails.
Full-Stack & AI Engineer
KredoxAI
Jan 2025 - Present (1 year 8 months)
Developed a full-stack AI-powered fintech solution automating video-based loan onboarding, customer verification, and risk scoring, deployed on Vercel, Render, Supabase, and SendGrid.
Education
Degrees, certifications, and relevant coursework
Greater Noida Institute of Technology (GGSIPU)
Bachelor of Technology, Computer Science & Engineering
2022 -
Grade: 8.06/10
Pursuing Bachelor of Technology in Computer Science & Engineering with a CGPA of 8.06/10, expected to graduate in May 2026.
LearnYard
Data Structures & Algorithms (Beginner to Advanced) + Low-Level Design (LLD), Data Structures & Algorithms
Completed certification in Data Structures & Algorithms (Beginner to Advanced) and Low-Level Design, solving over 100 Java coding problems.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
Skills
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