About
Hello! I am Manoj Rashinkar, an AI/ML Engineer with hands-on experience in developing, optimizing, and deploying advanced AI models, including large language models such as LLaMA, Qwen, Mistral, DeepSeek, and Gemma, as well as diffusion models like SDXL, Stable Diffusion 1.5 ,3, and LoRA. I have built multi-modal AI solutions including speech systems using Whisper, and specialize in model optimization, quantization, and hardware-accelerated inference using Python, OpenVINO Toolkit, ONNX Runtime, and Intel-based platforms. I also bring two years of professional experience as a Senior Analyst at Capgemini, where I strengthened my analytical mindset, business acumen, and ability to deliver impact in enterprise environments. Currently, I am expanding my career into Data Science—applying my strong machine learning foundation to data analysis, statistical modeling, and predictive analytics. I enjoy building end-to-end AI pipelines, uncovering insights from complex datasets, and developing intelligent systems that drive business value, including AI agents and RAG-based chatbot solutions. Passionate about continuous learning, I stay updated on the latest advancements in generative AI, deep learning, and data science, and I am motivated by translating cutting-edge research into practical, real-world applications.
MCA | Data Scientist | Data Analyst.
- Birthday: 9 April 1998
- Phone: +91 7483055353
- City: Bangalore, India
- Age: 27
- Degree: Master of Computer Applications (MCA)
- Email: manojrashinkar1@gmail.com
Skills
I am a versatile AI/ML professional with deep expertise in artificial intelligence, machine learning, and data science. My comprehensive technical background spans from advanced AI model development and optimization to scalable deployment solutions. I thrive on solving challenging problems and building end-to-end AI solutions, constantly updating my skills with the latest trends in AI, ML, and Data Science.
Resume
Summary
MANOJ RASHINKAR
I am an AI/ML Engineer with hands-on experience developing and optimizing AI models including LLMs (LLAMA, QWEN, Mistral, DeepSeek, Gemma), diffusion models (SDXL, SD 1.5, SD3, LoRA), and multi-modal AI solutions like Whisper. My expertise includes model optimization, quantization, deployment, and hardware-accelerated inference using Python, OpenVINO Toolkit, ONNX Runtime, and Intel-based platforms.
Currently, I am expanding my career into Data Science, applying my strong machine learning foundation to data analysis, statistical modeling, and predictive analytics. I enjoy building end-to-end AI pipelines, uncovering insights from complex data, and developing solutions that drive business impact. Passionate about continuous learning, I stay updated on the latest advancements in AI, deep learning, and data science.
- Bangalore , India
- (+91) 7483055353
- manojrashinkar1@gmail.com
Education
Master of Computer Application
2022 - 2023
KLE INSTITUTE OF TECHNOLOGY MCA, HUBLI
Bachelor of Computer Application
2016 - 2019
P C JABIN SCIENCE COLLEGE, HUBLI
PUC (Science)
2014 - 2016
NALANDA PU College, HUBLI
Professional Experience
Developer II - UST
2024 - present
Bangalore,India
- AI/ML Engineer with hands-on experience in LLMs, diffusion models, Whisper, and model optimization using Python, OpenVINO, and ONNX Runtime.
- Transitioning into Data Science, applying machine learning, data analytics, and statistical modeling to solve real-world business problems.
- Skilled in building end-to-end AI pipelines and optimizing models for efficient deployment on Intel integrated GPUs (iGPU) using hardware-accelerated inference.
Senior Analyst - Capgemini
2019 - 2022
Bangalore,India
- Utilized ServiceNow tools to extract and analyze data, creating impactful dashboards that boosted company performance by 30%.
- Played a pivotal role in enhancing documentation tools.
- Showcased commitment to operational efficiency using ServiceNow functionalities.
CEVI Intern-KLE Tech University
Nov 2022 - Dec 2022
Hubli ,India
- Executed "Surface Defect Detection using Machine Learning" project under CEVI guidance.
- Provided visual intelligence-based solutions, generating engineered data for targeted problem-solving.
Web Developer - SOC Experts
August 2022 - October 2022
Hubli ,India
- Developed new user-facing features using React.js.
- Built reusable components and front-end REACT libraries for future use.
PROJECTS
Python Project : NOTIPY
Developed notiPY, a Python project automating reminder emails for student placement drive forms, resulting in a significant increase of 80% in communication efficiency and 90% rise in student participation in placement opportunities.
Machine Learning Project : Surface Defect Detection
Surface Defect Detection for Hot Rolled Steel Strip, aiming to enhance product quality in industries like automotive and appliance manufacturing by using ML algorithms to classify and identify surface defects such as slag inclusion, red iron, and surface scratches, reducing their impact on production quality.
Python Project : Price Notifie
Created a Python-based Streamlit application, "Price Notifier," leveraging the NSE API for real-time stock price retrieval. Implemented a user-friendly interface to select and display last traded prices of chosen stocks and sends the notification alert Via Email .
IOT Project : Reverse Car Parking System with Raspberry Pi
Developed Reverse Car Parking System with Raspberry Pi using python and incorporating voice assistance and obstacle detection for improved safety and convenience in reverse parking situations
Web Scraping : Periodic Table
This Python uses requests and BeautifulSoup to scrape data from 'https://www.periodictable.one/elements/', extracts details of chemical elements, and presents the information in a Streamlit web app with a Pandas dataframe for a user-friendly display of the periodic table.
Web Project : SGCP Calculator
This SGPA calculator, designed for the 3rd semester, offers a user-friendly web interface using HTML, CSS (Bootstrap 4.5.2), and JavaScript. It facilitates easy input of subject grades for automatic SGPA calculation, with results displayed upon clicking the "Submit" button.
Web Project : Task Manager React App
Task Manager is a React-based web application designed to help users organize and track their daily tasks effectively. The application features an intuitive interface where users can add new tasks, mark tasks as completed, and delete them as needed. It supports dynamic interactions, ensuring tasks are managed in real-time without page reloads. This tool is ideal for individuals looking to boost their productivity and keep their to-do list updated efficiently.