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Dhivya Sreedhar I'm a Master's student in Information Systems with a specialization in Machine Learning and NLP at Carnegie Mellon University. Previously, I earned my B.E. in Computer Science (with Honors) from Anna University in 2022. My interests lie at the intersection of large language models, multimodal learning, and real-world ML systems. I’m currently working with Reclamation Factory, where I build real-time multimodal robotic perception systems for material identification and sorting. Previously, I spent two years at Zoho Corporation, developing distributed ingestion pipelines, search systems, and cloud-scale analytics for security products. Outside of AI, I enjoy fostering animals, exploring nature, and lifting weights. I’m actively seeking Machine Learning and Applied Scientist roles starting January 2026 — let’s connect! |
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 CMU MS in Information Systems (ML & NLP) Aug 2024 – Dec 2025 |
 Reclamation Factory Computer Vision & ML Intern May 2025 – Present |
 Zoho Corporation Software Developer Aug 2022 – Aug 2024 |
 Anna University B.E. Computer Science Aug 2018 – May 2022 |
Work & Research Experience
Reclamation Factory (CMU Robotics Startup)
Computer Vision & Machine Learning Intern (May 2025 – Present)
– Built a multimodal robotic identification and sorting system on NVIDIA Jetson AGX Orin using NIR/XRF/RGB fusion and Vision Transformer fine-tuning, achieving 93.5% accuracy across six material classes.
– Optimized inference pipelines using TensorRT and ONNX kernels, achieving sub-50ms latency for high-throughput edge deployment.
– Designed multimodal feature fusion pipelines combining spectral, audio, and visual embeddings to improve robustness and cross-domain generalization.
Bank of New York
Applied Scientist – Capstone Project (Jan 2025 – Aug 2025)
– Developed and fine-tuned large language models for text summarization, conversational AI, and compliance automation using RLHF, LoRA, and prompt engineering.
– Applied knowledge distillation and transfer learning techniques on financial datasets using PyTorch, TensorFlow, and Hugging Face.
Zoho Corporation – ManageEngine (Log360 Cloud)
Software Developer (Aug 2022 – Aug 2024)
– Designed and implemented distributed backend services using a microservice architecture for a cloud-native SIEM platform.
– Co-developed a high-throughput HTTP Event Collector using Java Struts, Redux, and REST APIs, achieving a 150% improvement in log ingestion performance via parallel processing and critical path optimization.
– Led end-to-end development of a containerized search system using Docker, AWS Lambda, and EC2, reducing search latency by 40% while enabling real-time analytics across globally distributed tenants.
Carnegie Mellon University – Language Technologies Institute
Teaching Assistant – 11-785 Deep Learning (Jan 2025 – Dec 2025)
– Conduct weekly recitations for a flagship PhD-level deep learning course with 400+ students, covering PyTorch, speech preprocessing, NAS, and memory-efficient data pipelines.
– Collaborate with Prof. Bhiksha Raj to develop instructional material and mentor student research projects on LLM reasoning, generative AI, and reinforcement learning.
Course Website
IIITDM Kancheepuram
Research Intern (May 2020 – May 2021)
– Conducted research on face forgery detection using deep convolutional neural networks and synthetic media datasets.
National Institute of Technology Calicut
Summer Research Intern (Jun 2021 – Aug 2021)
– Built a music instrument recognition system using CNNs and mel-spectrogram representations, achieving 99.17% accuracy.
Last updated July 2025. Template adapted from Jon Barron.