Expert @Codeforces • DTU'22 Graduate
Passionate about building scalable cloud solutions
and AI-powered applications
Passionate Software Engineer Building the Future
A self-motivated and hardworking Software Engineer at Microsoft with a passion for building scalable cloud solutions and AI-powered applications. I graduated from Delhi Technological University with a CGPA of 9.53 and department rank 7.
At Microsoft, I focus on designing and building reliable, high-performance backend systems at scale. I work across cloud platforms, distributed systems, and microservice architectures to improve system efficiency and user experience.
B.Tech in Computer Engineering • CGPA: 9.53/10.0 • Department Rank: 7
Azure CosmosDB rollback mechanism development
Led key projects across Azure services & received EC Ace award
Building high-performance backend systems at scale
Building scalable solutions that impact millions
Leading design and development of reliable, high-performance backend systems at scale. Working across cloud platforms, distributed systems, and microservice architectures to improve system efficiency and user experience.
Led multiple key projects across Azure services, Storage Account, CosmosDB, Azure Active Directory, and .NET Core. Recognized with EC Ace and Learn-It-All awards for exceptional performance.
Worked with the Azure Global Commercial Industry team to introduce rollback functionality for data tier deployments, enhancing system resilience and reliability.
Some of my notable work and research
Deep learning model that generates appropriate captions for real-world images using ResNet and LSTM on Flickr8k dataset.
CNN-LSTM neural networks for movie review sentiment analysis. Achieved 89.39% accuracy on IMDB dataset.
Real-time face detection and recognition system using OpenCV with live video stream processing.
K-Means clustering algorithm to identify and extract the most dominant colors from any given image.
Advanced GUI music player with playlist creation, audio controls, and modern interface design.
LSTM-based neural network for predicting appropriate emojis based on text input and context.
Core technologies I work with
Contributing to the advancement of technology through research
IEEE - 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
Developed an innovative ensemble methodology combining multiple machine learning algorithms for enhanced fraud detection accuracy in financial transactions.
IEEE - 2022 3rd International Conference for Emerging Technology (INCET)
Leveraged Automatic Identification System (AIS) data to detect illegal, unreported, and unregulated fishing activities through advanced data analytics and pattern recognition.
International Research Journal of Engineering and Technology (IRJET)
Proposed a novel two-stage approach combining unsupervised K-Means clustering with supervised neural networks for enhanced customer segmentation accuracy.
Awards, academic excellence, and competitive programming accomplishments
Recognized for top performance and consistently exceeding expectations at Microsoft
Microsoft • 2024Honored for continuous learning and technical competency enhancement
Microsoft • 2023Top 7 rank in Computer Engineering department out of ~450 students
DTU • 2018-2022Graduated with distinction from Delhi Technological University
B.Tech • Computer EngineeringSecured Department Rank 5 in III Semester with 9.82 CGPA
DTU • 2019Global Rank: 1442 • Country Rank: 244
International CompetitionGlobal Rank: 609 • Username: harshitmuhal
Algorithm CompetitionMultiple top rankings • Username: Infinite.Loop
Round 720: Rank 641 • Round 719: Rank 478Let's connect and discuss opportunities
hrshtmuhal8@gmail.com
Hyderabad, Telangana, India
harshitmuhal.github.io