Hi, I'mRISHITHA
Software developer focused on building scalable, maintainable systems with C#/.NET and full-stack technologies, informed by strong engineering fundamentals and applied AI/ML experience.
Skills & Technologies
A comprehensive toolkit for building modern full-stack applications
⚙️Backend Engineering
🗄️Databases
🎨Frontend
🚀DevOps & Delivery
☁️Cloud & Containers
(Foundational)🧪Testing
🤖AI, ML & Edge Computing
(Applied Projects)Featured Projects
Research and engineering work spanning AI/ML, systems programming, and computer vision
Computer Vision–Based Sign Language Recognition
IEEE I2CT 2022
Research · Computer Vision · Edge AI
Tech Stack
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Operating Systems & Concurrency Enhancements
Pintos
Systems · Low-Level Engineering
Tech Stack
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Brief Me the Case
AI-Powered Document Summarization
AI · NLP · Applied ML
Tech Stack
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Panorama Stitching & Image Alignment
Classical Computer Vision
Computer Vision · Image Processing
Tech Stack
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Real-Time ASL Recognition on Edge Device
Embedded ML System
Edge AI · Embedded ML · Computer Vision
Tech Stack
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Education
Academic foundation in computer science and machine learning
Master of Science in Computer Science (AI/ML)
UBUniversity at Buffalo
Focus
ML systems, deep learning architectures, NLP pipelines, model evaluation
Applied Experience
Built and evaluated deep learning models with emphasis on generalization, interpretability, and performance trade-offs. Worked with real-world datasets involving preprocessing, noise handling, and metric-driven iteration beyond accuracy.
Perspective
Approach machine learning as an engineering discipline, focusing on reliability, scalability, and failure analysis.
Bachelor of Engineering in Computer Science
SISTSathyabama Institute of Science and Technology
Comprehensive foundation in computer science fundamentals, software engineering principles, and practical development skills.
- ▹Strong foundation in CS fundamentals
- ▹Multiple hackathon participations
- ▹Dean's List recognition
- ▹Robotics Club Board Member
- ▹Hands-on experience deploying ML models in constrained environments, including on-device inference on embedded systems.
Work Experience
Building impactful solutions at scale
Software Developer
DDeloitte
Context
Developed and maintained enterprise-grade backend systems supporting state-wide adjudication and fraud detection workflows.
Impact
- ▹Designed backend services handling 100K+ daily transactions
- ▹Reduced fraud detection processing time by ~40%
- ▹Implemented CI/CD pipelines improving deployment consistency
Ownership
Service design, production debugging, performance tuning, release coordination
Software Developer Apprentice (Digital Nurture)
CCognizant
Context
Completed a structured onboarding and technical training program designed to build strong foundations in enterprise software development.
Impact
- ▹Trained in Java and C#, covering OOP concepts, basic data structures, and coding standards
- ▹Learned SQL fundamentals, including queries, joins, and relational database concepts
- ▹Completed guided exercises and assessments to reinforce programming and problem-solving skills
Ownership
Technical coursework, programming assignments, evaluations, collaborative learning
Get In Touch
Open to Opportunities
Currently exploring new opportunities for freelance collaborations and full-time roles. Let's connect and discuss how I can contribute to your team or project.