I am Mamlesh, a seasoned software developer with extensive experience in designing and implementing innovative applications and software solutions.
Developed an innovative autonomous rover equipped with advanced navigation and obstacle avoidance systems, enabling seamless exploration and data collection in diverse environments.
Intuitive Job Portal with Full-Stack Implementation: Building seamless user experiences with React, Express, MongoDB, and Node.js to connect job seekers and employers effortlessly.
Built an IMDB-inspired website with interactive gaming features, user authentication, and dynamic movie details retrieval using MongoDB, Node.js, Express.js, and AngularJS.
Implemented a client-server architecture with edge computing devices. The edge devices automatically detect threats and notify a central server. Integrated cloud computing via Firebase to enable real-time storage and analysis of network packet data.
Developed an embedded systems project incorporating the thermal sensor to detect fire and send instant alarm notifications to a connected phone for swift preventive measures."
Implemented an advanced path planning algorithm for autonomous vehicles, using depth cameras to predict and navigate through environments, ensuring real-time decision-making for safe navigation.
Created a powerful YOLOv8 model for live fruit detection, using a custom dataset annotated via Roboflow. Implemented the model with PyTorch and OpenCV, ensuring precise detection across environments.
Utilized TMDB API Integration for Dynamic Web Page Content Retrieval and Display, Employing Python to Facilitate Streamlined Information Fetching and Rendering Based on Specific Keywords.
Environmental Risk Assessment with OpenWeather API. Leveraged Python for data extraction and analysis to proactively generate risk alerts based on predefined thresholds and parameters.
Conducted a thorough examination of competitor websites, along with the creation of 50 high-quality backlinks, employing SEO strategies to optimize online visibility and search engine rankings.
TiHAN IIT Hyderabad (2023 aug - 2023 dec)
Through my role as a software development research intern at TiHAN-IIT Hyderabad, I contributed to the advancement of autonomous vehicle technology, showcasing my proficiency in software development and dedication to the field of autonomous systems.
Coding Ninjas(2023 nov - 2024 feb)
Interned at Coding Ninjas as a teaching assistant, guiding students in an online data science and machine learning course, having mentored over 150 students with a rating of 4.78.
TekCogent (2023 Nov - 2023 dec)
"During my internship at Tekcogen, I am actively engaged in mastering NVIDIA DeepStream and NVIDIA TAO, enhancing my expertise in AI engineering and my understanding of advanced technologies pivotal to the development of intelligent systems.
Faucone (2023 aug - 2023 sep)
My experience at Faucone allowed me to specialize in page SEO, equipping me with a deep understanding of the most critical aspects in search engine optimization, contributing to enhanced online visibility and organic reach for businesses.
Bharath Intern (2023 sep - 2023 oct)
During my internship at Bharath Intern, I immersed myself in the realm of data science, honing my skills and practical understanding of advanced data analysis techniques, thereby contributing to the organization's data-driven decision-making processes and insights.
Titled CaneRover: Autonomous Ground Rover for Under-Canopy Sugarcane Field Monitoring and Disease Detection.
Co-author of our paper, Driver Assistance System to Avoid Obstacles in Poor Visibility Conditions.
Main author, Server-assisted security protection for edge computing device, International journal.
Main Author, A Review of Intel Real Sense-Based Obstacle Detection for Unmanned Ground Vehicles, International Journal
Titled Autonomous Sugarcane Field Monitoring System with Deep Learning Approaches, Lucknow.
Vellore Institute of Technology (2021 - 2025)
CGPA: 8.45
Coding Ninjas(2022 - 2023)
My intensive one-year education course at Coding Ninjas in data science and machine learning equipped me with a comprehensive skill set, enabling me to effectively apply advanced techniques in real-world scenarios and contribute to the realm of data-driven innovation.
S.B.O.A Matric & Higher Seconday School (2020 - 2021)
Percentage: 88%
S.B.O.A Matric & Higher Seconday School (2018 - 2019)
Percentage: 86%