Greetings! 👋 I'm Nitin Mane, a seasoned and dedicated engineer with a strong track record of leadership and expertise. I possess a Bachelor of Technology degree in Electronics and Telecommunication Engineering and have made significant contributions to the research field, particularly in the realm of industrial and commercial services within a dynamic startup environment. My proficiency lies in orchestrating end-to-end project execution and implementing efficient DevOps workflows. I thrive on innovation, constantly seeking ways to enhance and revolutionize electronics, robotics, IoT, deep learning, and other cutting-edge domains. Additionally, I actively engage in volunteer work and community initiatives, demonstrating my commitment to making a positive impact.
As a software engineer, I bring extensive experience in driving successful project outcomes and delivering value to clients. My comprehensive understanding of research methodologies, coupled with my technical prowess, enables me to tackle complex challenges and devise innovative solutions. With a keen eye for detail and a passion for excellence, I consistently strive to exceed expectations and achieve remarkable results. I thrive in collaborative environments, fostering effective communication and seamless coordination with cross-functional teams. By leveraging my expertise in diverse domains, I am adept at translating client requirements into practical and impactful solutions that align with their strategic objectives. With a client-centric approach and a relentless drive for excellence, I am committed to delivering optimal outcomes and contributing to the success of each project.
☁️ AWS | ☁️ Azure | ☁️ Google Cloud Platform | 🐳 Docker | ☸️ Kubernetes
🗄️ SQL | 🐘 Hadoop | ⚡ Spark | 📤 Apache Kafka | 🌬️ Apache Airflow
🐍 Python | ☕ Java | 🖥️ C/C++ | 💎 Ruby | 🐧 Go | 🌐 JavaScript | 📊 R Studio | ⚛️ React | ⚙️ Embedded C
📷 OpenCV | 🤖 TensorFlow | 🌟 PyTorch | 🖼️ Image Processing | 👁️ Object Detection
🧠 Neural Networks | 🤖 Deep Learning | 📖 Natural Language Processing | 🔄 Reinforcement Learning
📄 Smart Contracts | 💰 Ethereum | 🔒 Solidity
📝 Text Classification | 😄 Sentiment Analysis | 🎯 Named Entity Recognition | 🏆 LLM | 🤖 Bots | 💬 ChatGPT
🎨 UX/UI Design | 🎛️ Prototyping | 🏢 Agile Methodology
📊 Electronics | 📝 Algorithms | ⚡ Electrical | 🤖 Automation | 🧪 AI Simulations | 🤖 Machine Learning | 📈 Signal Processing | 🎮 Control System | 📊 Data Visualization | 📶 5G
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Master's of Technology (M.Tech.)
- Indian Institute of Technology, Bhilai
- Year: 2024 (present)
- Description: Master's degree in Mechatronics Engineering.
- Main Points:
- Machine learning and Deep Learning for Computer Vision
- Advance Control Theory, Signal Processing
- Hands-on projects and interactive lessons as Teaching assistant
- Robotics and AI
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Google Data Analytics Professional Certificate
- Year: 2023
- Description: Comprehensive course covering data analysis, interpretation, and visualization. Hands-on projects and interactive lessons. Topics include data collection, cleaning, analysis, and visualization using various tools and techniques.
- Main Points:
- Data analysis and interpretation
- Data visualization using tools and techniques
- Hands-on projects and interactive lessons
- Data collection and cleaning
- Application of advanced techniques like machine learning and R programming
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Intel Edge AI for IoT Developers Program
- Nanodegree Udacity
- Year: 2021
- Description: Program focusing on computer hardware, OpenVINO, software development, neural networks, deep learning, IoT, machine learning pipelines, computer vision, and AI.
- Main Points:
- Computer hardware and software development
- Neural networks and deep learning
- IoT and machine learning pipelines
- Computer vision and AI applications
- Practical skills in OpenVINO and related technologies
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Bachelor of Technology (B.Tech.)
- Maharashtra Institute of Technology, Aurangabad
- Year: 2020
- Description: Bachelor's degree in Electronics and Telecommunication Engineering, providing comprehensive knowledge and practical skills in the field.
- Main Points:
- Electronics and telecommunication engineering
- Comprehensive knowledge and practical skills
- Focus on electronics and telecommunication concepts
- Hands-on experience in engineering projects
- Strong foundation in engineering principles
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Master Course Mechatronics
- Institution Name
- Year: 2013
- Description: Master's course covering various aspects of Mechatronics, including conventional machine study, practical workshop sessions, engineering metrology, quality control, electrical and electronics basics, CNC machine coding and simulation, embedded systems and applications, pneumatics and hydraulics, PLC programming, SCADA, electrical/electronics and mechanical maintenance, and a live Mechatronics project with FESTO Kit.
- Main Points:
- Conventional machine study and workshop sessions
- Knowledge of engineering metrology and quality control
- Understanding of electrical and electronics basics
- Proficiency in CNC machine coding and simulation
- Practical experience with embedded systems and applications
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Diploma in Electronics Production and Maintenance
- DOEACC Centre, Aurangabad
- Year: 2012
- Description: Diploma program focusing on electronics production and maintenance, providing skills in troubleshooting, repair, and maintenance of electronic systems and components.
- Main Points:
- Electronics production and maintenance
- Troubleshooting and repair skills
- Maintenance of electronic systems
- Understanding of electronic components
- Practical knowledge in electronics production
Software Engineer at Infinity Tech Resources
As a Software Engineer at Infinity Tech Resources, I have been responsible for designing, developing, and maintaining software solutions for our clients. My primary role involves collaborating with cross-functional teams to gather requirements, analyze user needs, and implement efficient and scalable software solutions.
Responsibilities:
- Participating in the full software development lifecycle, including requirements gathering, design, development, testing, and deployment.
- Writing clean, maintainable, and efficient code to deliver high-quality software solutions.
- Collaborating with product managers and stakeholders to understand project requirements and ensure timely delivery.
- Conducting code reviews and providing constructive feedback to ensure code quality and adherence to best practices.
- Troubleshooting and resolving software defects and issues reported by clients or users.
- Keeping up-to-date with the latest technologies and industry trends to bring innovative solutions to our projects.
Achievements:
- Successfully delivered multiple software projects, meeting client requirements and timelines.
- Implemented performance optimizations that resulted in significant improvements in application speed and responsiveness.
- Collaborated with the team to migrate legacy systems to modern frameworks, enhancing scalability and maintainability.
- Received positive feedback from clients for delivering high-quality software solutions that met their business needs.
- Actively contributed to knowledge sharing within the team, conducting internal training sessions and mentoring junior developers.
Working at Infinity Tech Resources has allowed me to enhance my technical skills, collaborate with talented professionals, and contribute to impactful software projects.
Developer at MATLAB Helper
As a Developer at MATLAB Helper, I have been responsible for executing various client projects and developing applications that leverage the power of MATLAB and Simulink. My role involves following established coding and documentation standards to ensure high-quality, maintainable software solutions. I actively contribute to troubleshooting, debugging, and updating current and future projects, ensuring their optimal performance.
Responsibilities:
- Following established coding, documentation, and recording standards to ensure work is easily reviewed, tested, and maintainable.
- Executing tasks and client projects in accordance with company policies, meeting project requirements and deadlines.
- Creating technical content such as short videos, blog articles, courses, quizzes, and webinars that incorporate innovative ideas and showcase MATLAB capabilities.
- Developing well-documented applications that address all use cases through creative and efficient solutions.
- Actively participating in troubleshooting, debugging, and updating current and future projects and applications.
- Publishing technical content on the website's front-end or back-end and moderating user-generated content.
- Promoting content and events through social media and other channels to engage the community.
- Collaborating closely with other developers and team members to share knowledge and ensure project success.
During my tenure at MATLAB Helper, I have successfully executed various client projects and contributed to the creation of engaging technical content. I have demonstrated strong proficiency in MATLAB and Simulink, while also ensuring adherence to coding standards and delivering quality results. I actively collaborate with the team to foster knowledge sharing and promote a culture of innovation and excellence.
Contract Web Developer and Software Engineer at Ekkata Innovator LLP
As a Contract Web Developer and Software Engineer at Ekkata Innovator LLP, I have been involved in a variety of projects focused on web and software application development. My responsibilities encompassed working with Django framework, providing faculty and student training, and serving as a Python trainer. Additionally, I offered B2B consultancy services, ensuring effective and scalable solutions for web and software applications.
Responsibilities:
- Developing web and software applications using the Django framework, following best practices for scalability, security, and maintainability.
- Providing faculty and student training, equipping them with the necessary skills to excel in Python programming and web development.
- Serving as a Python trainer, delivering comprehensive and hands-on training sessions to enhance coding proficiency and problem-solving abilities.
- Offering B2B consultancy services, collaborating with clients to understand their requirements and providing tailored solutions for web and software applications.
- Participating in code reviews, ensuring adherence to coding standards, and optimizing application performance.
- Collaborating with cross-functional teams to develop and implement innovative features and functionality in web and software applications.
- Keeping up-to-date with the latest trends and technologies in web development and software engineering to propose and implement improvements.
Achievements:
- Successfully developed and delivered web and software applications that met clients' requirements and aligned with industry standards.
- Conducted effective faculty and student training programs, receiving positive feedback on knowledge transfer and skill development.
- Received recognition as a Python trainer, helping learners enhance their coding abilities and problem-solving skills.
- Provided B2B consultancy services, delivering scalable solutions that improved efficiency and user experience in web and software applications.
- Actively contributed to the growth of the organization through the implementation of best practices and innovative approaches.
During my tenure at Ekkata Innovator LLP, I leveraged my expertise in web development, Python programming, and consultancy to deliver high-quality solutions to clients. I consistently aimed for scalability, security, and maintainability in all projects, while also imparting knowledge through training programs and offering valuable consultancy services.
The Smart Sterilizer Box for Mask and PPE Kits is a low-cost, portable solution designed to sterilize masks and personal protective equipment (PPE) kits. It utilizes UV-C light to effectively sterilize the items, making it particularly useful in low-resource settings such as hospitals. The project aims to enhance the health and safety of hospital staff and patients through safe and efficient sterilization processes.
The Peter Moss COVID-19 AI Research Project focuses on eXplainable Deep Neural Network (xDNN) classifiers developed by Professor Plamen Angelov and researcher Eduardo Soares PhD. These classifiers provide real-time predictions for medical support applications using intelligent networks. The project repository includes MATLAB and Python implementations of the xDNN architecture, enabling the utilization of xDNN on the edge for medical purposes.
The Automated Weed Detection and Removal project utilizes computer vision techniques to accurately detect and remove weeds in agricultural fields, leading to improved crop yields. The project leverages a Residual Network (ResNet) architecture and Auto Mixed Precision (AMP) for efficient and accurate classification of crop and weed images. By optimizing resources and minimizing environmental impact, the project contributes to sustainable agriculture practices.
The Road Sign Detection and Alert project focuses on developing a real-time road sign detection system using a Raspberry Pi and a camera module. The system is designed to detect common road signs such as stop signs, speed limit signs, and yield signs, and triggers an LED alert upon detection. This project aims to improve road safety by providing timely notifications to drivers.
I have a wide range of interests, including exploring the latest advancements in technology, attending tech conferences and meetups, participating in hackathons, and contributing to open-source projects. I am passionate about innovation, problem-solving, and creating impactful solutions.
To stay updated with the latest advancements, I continuously learn and expand my skillset. Some of my recent areas of focus include:
- Deep Reinforcement Learning
- Transfer Learning
- Natural Language Processing (NLP)
- Generative Adversarial Networks (GANs)
- AutoML (Automated Machine Learning)
- Ethereum Smart Contracts
- Hyperledger Fabric
- Decentralized Finance (DeFi)
- Tokenization
- Consensus Algorithms
- MQTT (Message Queuing Telemetry Transport)
- Edge Computing
- Industrial IoT (IIoT)
- IoT Security
- IoT Analytics
- Infrastructure as Code (IaC)
- Continuous Integration/Continuous Deployment (CI/CD)
- Docker
- Kubernetes
- GitOps
- Transformer Models (e.g., BERT, GPT)
- Named Entity Recognition (NER)
- Sentiment Analysis
- Text Summarization
- Question Answering Systems
- Ethical Hacking
- Threat Intelligence
- Security Information and Event Management (SIEM)
- Zero Trust Architecture
- Cloud Security
- Quantum Algorithms
- Quantum Cryptography
- Quantum Machine Learning
- Quantum Annealing
- Quantum Simulators
- Tensor Processing Units (TPUs)
- Neural Architecture Search
- Federated Learning
- On-Device AI
- TinyML (Tiny Machine Learning)
- SHAP (SHapley Additive exPlanations)
- LIME (Local Interpretable Model-Agnostic Explanations)
- Model-Agnostic Methods
- Rule-Based Explanations
- Counterfactual Explanations
- Network Slicing
- Massive IoT
- Mobile Edge Computing (MEC)
- Beamforming
- Network Function Virtualization (NFV)
You can reach out to me through the following channels: