Hi, I'm Niraja Adithya Dasireddi - AI/ML Developer at TRiDE Mobility - EV Rides
I am passionate about creating intelligence that functions in the physical world. I thrive where embedded systems meet advanced machine learning, solving problems that demand both deep rigor and innovation.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Built a strong foundation in robotics and sensor fusion through intensive early-career work in automation and mobility.
Develops production-grade AI and RAG architectures currently powering autonomous systems for the EV industry.
Provides expert technical mentorship on deploying complex machine learning models within resource-constrained edge environments.
🚀 Career trajectory
Robotics Foundations
Started by mastering embedded C, microcontrollers, and sensor fusion in robotics contexts.
✦ Embedded Systems
✦ Hardware Engineering
AI Specialization
Transitioned into machine learning research, focusing on computer vision and deep neural networks.
✦ Deep Learning
✦ TensorFlow
Scale and Deployment
Currently leading AI/ML development, building production-ready GenAI and RAG solutions for mobility.
✦ MLOps
✦ LLM Pipelines
💪🏻 Superpowers
Hardware-Software Synthesis
Connecting physical sensors to intelligent logic
✦ Integrates embedded systems with modern AI architectures.
✦ Engineers efficient pipelines for microcontrollers and hardware devices.
✦ Translates real-world sensor input into actionable model insights.
Generative Intelligence Engineering
Architecting advanced LLM and RAG workflows
✦ Deploys scalable RAG systems for real-time information retrieval.
✦ Customizes transformer models for niche operational requirements.
✦ Optimizes API performance for complex Gen AI integrations.
Problem-First Technical Strategy
Turning theoretical constraints into robust applications
✦ Deconstructs complex engineering bottlenecks into logical coding paths.
✦ Applies rigorous statistical analysis to improve model reliability.
✦ Streamlines MLOps workflows to reduce time-to-deployment.
I'm excited about
✦ Exploring cross-industry applications for autonomous mobility and intelligent transport.
✦ Seeking collaborations with researchers pushing the boundaries of edge AI and deployment efficiency.
✦ Targeting high-impact roles that require balancing complex physical engineering with advanced software intelligence.
I can help with
✦ Providing technical deep dives into integrating RAG pipelines with existing legacy backends.
✦ Mentoring developers on bridging the gap between embedded hardware programming and modern Python frameworks.
✦ Assisting teams in optimizing MLOps workflows for resource-constrained edge computing environments.
I would love your help on
✦ Connecting with experts who specialize in scaling AI infrastructure for high-concurrency mobility platforms.
✦ Seeking guidance on strategic career moves into leadership roles within deep-tech startup ecosystems.
✦ Looking for perspectives on ethical AI development and long-term research trends in robotics.