Available for Opportunities

Amrut
Paunikar

AI Engineer · Robotics Developer · Java Backend

AI Engineering graduate with hands-on experience building Autonomous Mobile Robots, AI-powered pipelines, and Java microservices. Specialised in ROS2, SLAM, LLMs, RAG, and Spring Boot — from simulation to real hardware.

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Internships

Robotics Projects

10+

AI Integrations

// core domains

Expertise by Priority

01 · Primary Domain

🤖

Robotics & Autonomous Systems

Building AMRs from scratch using ROS2 as core middleware. Hands-on with SLAM, Nav2, odometry, TF frames, and full simulation-to-hardware deployment. Experienced with Jetson Orin Nano, Raspberry Pi 5, RPLidar, and motor controllers.

ROS2 SLAM Nav2 Gazebo Rviz C++ Embedded

02 · Secondary Domain

🧠

Artificial Intelligence & LLMs

Designing RAG pipelines, multi-agent AI workflows, and Computer Vision solutions. Familiar with LangChain, LangGraph, LlamaIndex, VLMs (CLIP/BLIP/ViT), and YOLO-based vision models. Deployed AI systems on Railway and AWS.

RAG LangChain YOLOv11 VLM OpenAI PyTorch n8n

03 · Tertiary Domain

☕

Java Backend & Web Development

Building microservices and RESTful APIs using Spring Boot, Hibernate, and Apache Kafka. Experienced with MySQL, MongoDB, and AWS EC2/RDS. Familiar with Docker, Maven, and Agile SDLC practices.

Spring Boot Kafka Microservices MySQL AWS Docker

// work history

Experience

Built an AMR (Autonomous Mobile Robot) using ROS2 as core middleware, structuring the project as a multi-package colcon workspace.
Implemented SLAM for mapping and localization via Rtab Map IPC odometry, along with Nav2 stack for autonomous path planning and movement.
Worked with odometry and TF (transform) frames to maintain accurate robot pose and coordinate frame alignment across the system.
Developed ROS2 nodes, topics, and packages in Python and C++ to handle robot control and inter-process communication.
Worked on simulation, hardware integration, calibration, and 3D modelling in Blender.

▶ Watch Robot Demo ↗

Built a Recruitment System integrated with OpenAI, Spring Boot, ReactJS, AWS S3, and Railway tech stack.
Developed AI-powered automation workflows using n8n, integrating OpenAI, Gemini, MongoDB, and Pinecone for Resume Builder, Lead Generation, and Job Recommendation systems.
Built Python-based RAG chatbots with vector databases and semantic search, enabling context-aware, multi-turn AI interactions; deployed on Railway with AWS S3.

Created a custom dataset and trained a YOLOv11 model to detect and segment within defined Areas of Interest (AOI) across multiple CCTV and live video streams.
Implemented real-time, multi-stream inference using OpenCV (cv2) to process feeds in parallel, visualize detections, and support advanced wildlife surveillance and alerting.

Contributed to web application development using Java-based stack in a professional onsite environment.
Gained foundational industry experience in software development lifecycle and team collaboration.

// featured work

Projects

🤖 Robotics · Computer Vision

NaviCam Rover – Ground Exploration System

Autonomous mobile rover using ROS2 (Humble) with a full simulation-to-hardware pipeline and URDF/XACRO modelling. Built a real-time Spring Boot application for rover control, telemetry visualisation, mission management, and data logging via REST APIs. Implemented SLAM using LiDAR, IMU, and odometry — validated in Gazebo/Ignition and replicated on hardware with 12V DC motors, quad encoders, LiDAR, Raspberry Pi/Jetson, and long-range comms. Control dashboard with Google Maps integration, camera feeds, and YOLOv11 Object Detection.

ROS2 SLAM Gazebo Spring Boot YOLOv11 Thymeleaf Raspberry Pi

☕ Java · Real-Time

Radius GeoTalk – Spring Boot Platform

A platform delivering real-time weather updates and geolocation-based messaging within a 1 km radius, powered by Apache Kafka and a Weather API. Performs full CRUD of Statement/Notice messages according to geographic locations, enabling hyperlocal community communication.

Spring Boot Apache Kafka MySQL REST API Geolocation Weather API

🧠 AI · Full Stack

AI Recruitment System

End-to-end AI recruitment platform integrating OpenAI with a Spring Boot backend, ReactJS frontend, AWS S3 for document storage, and Railway for deployment. Features automated CV screening, candidate matching, and AI-assisted interview workflows.

OpenAI Spring Boot ReactJS AWS S3 Railway

🧠 AI Automation · Agentic

n8n AI Automation Workflows

Designed AI-powered automation workflows using n8n, connecting OpenAI, Gemini, MongoDB, and Pinecone for three production systems: an intelligent Resume Builder, a Lead Generation engine, and a Job Recommendation system with context-aware multi-turn RAG chatbot capabilities.

n8n RAG Pinecone Gemini MongoDB FastAPI

// technical arsenal

Skills & Tools

Robotics & Simulation

ROS2SLAM Nav2Rtab Map GazeboRviz TF FramesOdometry URDF/XACROCMake colconBlender

AI / ML / LLM

PythonPyTorch LangChainLangGraph LlamaIndexRAG FastAPIFlask YOLOv11VLM / CLIP / BLIP n8nOpenAI API

Java Backend

JavaSpring Boot Spring JDBCHibernate Apache KafkaActiveMQ RESTful APIsMicroservices MavenTomcat OOPS

Databases & Cloud

MySQLMongoDB FAISSChromaDB PineconeAWS EC2 AWS RDSAWS S3 RailwayDocker

Hardware & Embedded

Jetson Orin Nano Raspberry Pi 5 ESP32 RPLidar X4 Pro YDLidar A1M8 DC Motors Quad Encoders IMU

Dev Practices & Tools

GitBitbucket JiraPostman Agile / ScrumSDLC Design PatternsDSA Slf4JJUnit MockitoVS Code

// academic background

Education

B.Tech · 2021–2025

Bachelor of Technology

Priyadarshini JL College of Engineering, Nagpur

7.1 CGPA

2021 – 2025

HSC · 2020–2021

Higher Secondary Certificate (XII)

Dadasaheb Dhanwate Nagar Vidhyalaya and Junior College, Nagpur

70%

2020 – 2021

// credentials

Certifications

Vision-Language Model (VLM) Certification Completed

Studied multimodal AI concepts including image encoding, text-image alignment, prompt engineering, and model architectures such as CLIP, BLIP, Quen, and ViTs used in VLM systems.
Completed hands-on projects involving image captioning, Visual Question Answering (VQA), object grounding, and multimodal inference using Python and popular VLM frameworks.

// recognition

Achievements

🥈

1st Runner-Up – Project Competition, GHRIET Recognised for technical excellence and innovation at G.H. Raisoni Institute of Engineering & Technology.

🥈

1st Runner-Up – Project Competition, GCOE Awarded at Government College of Engineering for outstanding project design and implementation.

🏆

2nd Prize – TECHTRIX National Coding Competition Secured 2nd place in a national-level coding competition, demonstrating strong algorithmic and problem-solving skills.

🤖

End-to-End AMR Deployment Successfully designed, built, and deployed a fully autonomous mobile robot from simulation to real hardware using ROS2, SLAM, and Nav2 — with live demo footage available.

Amrut Paunikar