Berlin ยท MSc AI / Robotics

Saurabh Kumar

What if machines could feel?

Exploring the intersection of Robotics, AI, Quantum Computing, and Human Emotion. Building machines that understand feelings.

About

I'm an electrical engineer turned AI researcher and builder, based in Berlin. After four years shipping production software โ€” leading engineering as Technical Head at Pashi Technology and launching Vocaa to users in 177 countries โ€” I moved into research full-time. My aim is a PhD in Affective and Embodied robotics.

  • Technical Head & 20% Partner โ€” Pashi Technology (Led the engineering team)
  • Full-Stack Developer โ€” PGTech
  • Data Analyst โ€” Earlier role
4+
years of full-stack engineering
177
countries reached by Vocaa
20+
talks on technology & AI
EEE โ†’ AI
hardware roots, software reach

Research

Research & Academic Work

Core Research Vision

What if machines could feel?

I believe the next frontier in robotics isn't just intelligence โ€” it's emotion. My work explores Affective Robotics: building machines capable of empathy, emotional awareness, and genuine human-like connection. Drawing from Electrical Engineering, AI/ML, Quantum Computing, and Cognitive Science, I aim to pioneer systems where robots don't just respond โ€” they understand.

Publications in preparation

AI-Based Predictive Maintenance and Operational Efficiency in Manufacturing

In preparation ยท targeting IEEE

Differentiation: Explainable AI (XAI) combined with lightweight edge deployment.

IEEEXAIEdge AIManufacturing

Is Time an Illusion? Exploring the Emergent Nature of Temporal Experience

In preparation ยท targeting IEEE

A philosophical-computational paper arguing that time may be emergent rather than fundamental.

IEEEPhilosophy of PhysicsComputational Theory

Research interests

Affective Robotics

Giving robots emotional intelligence and empathy.

Quantum Robotics

Applying quantum computing to robotic decision-making.

Embodied AI

AI that lives in physical bodies and interacts with the real world.

Space Autonomy

Autonomous robotic systems for space exploration.

Open to PhD

Currently seeking PhD positions and research collaborations in Affective Robotics, Embodied AI, Quantum Computing, and Space Systems.

Projects

Built, not just proposed

Research-grade engineering in robotics and agentic AI, alongside production apps used by real people.

Robotics & AI Research Projects

Flagship project

FollowCam โ€” Autonomous Camera Robot

Robot name: Kiko

50% Built โ€” Presenting to NVIDIA, TU Munich (Oct 2026)

A wheeled autonomous camera robot that follows a person and films them like a professional camera operator. Uses computer vision for person tracking, LiDAR + ultrasonic sensors for obstacle avoidance, and mecanum wheels for omnidirectional movement. Monkey-shaped body designed for emotional attachment.

Computer VisionLiDARROS2Mecanum WheelsReact Native App4K Camera3-Axis Gimbal

AgentOps โ€” Multi-Agent AI DevOps Platform

Kyma AI Assistant

Completed โ€” Live on GitHub

A multi-domain agentic AI platform with a 5-node LangGraph pipeline, supervisor agent with dynamic routing, self-correcting loop, human-in-the-loop approval, RAG via ChromaDB, and LangFuse observability. Domain-agnostic architecture โ€” swappable knowledge base for any field.

FastAPILangGraphLangChainLangFuseOllamaKind (Kubernetes)Docker ComposeSQLiteChroma

Vocaa Robot โ€” Language Learning Humanoid

Concept Stage

Concept for a low-budget desktop humanoid robot connected to the Vocaa language practice app. Users learn languages by talking directly to a physical robot companion.

HumanoidLanguage Learning

Production Apps โ€” Shipped & Live

Vocaa โ€” Real-Time Language Practice

Speak. Connect. Grow.

Live on Google Play โ€” 177 Countries

Real-time language speaking practice with real humans. Press one button, get matched in under 2 seconds, practice for 5 minutes. AI pronunciation feedback powered by GPT-4o and Whisper.

React NativeNestJSPostgreSQLRedisLiveKit WebRTCOpenAIRailwaySupabase

Milap โ€” Anonymous Social Discovery

Connect Anonymously. Discover Genuinely.

Google Play Closed Testing

Anonymous matching app inspired by an ancient Indian ritual. Progressive identity reveal. WebSocket-based real-time matching with cosine similarity scoring.

React NativeNestJSPostgreSQLWebSocketAI Matching

Skills

Technical Competencies

Depth over breadth. Each bar shows where I am: studying, hands-on, applied in a real project, or a completed curriculum.

Deep learning to agentic systems, with a focus on edge deployment.

  • Deep LearningCompleted

    ANN, CNN, RNN, LSTM, GRU, Transformer architecture โ€” full curriculum

  • NLPApplied

    Traditional + modern NLP; BERT, GPT-2, Opus-MT via Hugging Face

  • Reinforcement LearningCompleted

    Q-Learning, DQN, Policy Gradient, Actor-Critic, RLHF

  • Generative AIApplied

    Production-grade RAG with ChromaDB; LangChain (Models, Prompts, Chains, Memory, Agents)

  • Agentic AIApplied

    ReAct, multi-agent (supervisor + workers), MCP, function calling

  • Edge AIHands-on

    Quantization (PTQ, QAT, GPTQ, AWQ, GGUF) and pruning

  • Computer VisionStudying

    Prof. Shree K. Nayar's First Principles of CV โ€” edge detection, gradients, sensor pipeline, 3D vision

Learning

Self-Directed Research Tracks

Structured, self-driven curricula alongside my degree โ€” each with a written roadmap and notes.

Quantum Computing

100%

13-week Qiskit curriculum (up to Grover's Algorithm), saved to GitHub.

  1. Gates & Bloch sphere
  2. Bell / GHZ states & teleportation
  3. Deutsch โ†’ Simon's
  4. Grover's

Deep Learning / RL / Agentic AI

100%

Complete curriculum finished โ€” 83 pages of handwritten-style notes.

  1. DL architectures
  2. Reinforcement learning + RLHF
  3. RAG & LangChain
  4. Multi-agent & MCP

ROS2 Robotics

40%

5-phase curriculum mapped to Articulated Robotics plus Lynch & Park, Thrun, and Siciliano.

  1. Workspace setup
  2. Custom Python nodes
  3. Hardware โ†” software stack

Computer Vision

25%

6-layer PhD roadmap, from classical vision to embodied AI.

  1. Classical CV
  2. Deep Learning CV
  3. 3D / Geometric
  4. Multimodal
  5. Generative
  6. Embodied AI

Space Technology

15%

6-phase, 24-week roadmap from orbital mechanics to an AI-quantum-in-space capstone.

  1. Orbital mechanics
  2. Spacecraft systems
  3. Capstone: AI + quantum in space

Key textbooks being studied

  • Modern Robotics

    Lynch & Park

  • Probabilistic Robotics

    Thrun

  • Robotics

    Siciliano

  • Computer Vision

    Szeliski

  • Multiple View Geometry

    Hartley & Zisserman

Education

Education

MSc Artificial Intelligence โ†’ Robotics Pathway

Berlin School of Business and Innovation (BSBI/UCA)

February 2026 intake ยท pathway changed to Robotics after 1st semester

  • Self-studying AI/ML/DL/GenAI/Agentic AI independently alongside the programme.
  • Coursework: credit card default prediction ML pipeline; predictive maintenance (LSTM vs TCN); robotics literature review; AI ethics (healthcare, policing, autonomous weapons).

B.Tech Electrical and Electronics Engineering

Cochin University of Science and Technology (CUSAT), Kerala, India

Foundation: circuit design, embedded systems, signal processing, motor control, power electronics

  • This EEE background is a direct advantage for hardware-adjacent robotics research.

Speaking

20+ talks on Technology, AI, and Innovation

Universities, colleges, and schools โ€” grounded in what it actually takes to build in the real world.

AI & RoboticsResearch & InnovationCareer & MindsetTechnical Deep-Dives

Available for academic talks, conference presentations, and guest lectures.

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Let's advance the science together

Open to PhD positions, research collaborations, visiting researcher opportunities, and industry research roles.

Affective RoboticsEmbodied AIQuantum RoboticsSpace AutonomyHRI
saurabhkumar9493@gmail.com

Based in Berlin, Germany. Open to relocating for the right research opportunity.