{"meta":{"format":"aryan-resume/v1","source":"https://aryandokania.vercel.app","docs":"GET /api/resume — full resume as JSON. Interactive version with RAG search at the source URL.","updated":"2026-07"},"resume":{"name":"Aryan Dokania","title":"Research Engineer @ Microsoft (Copilot Studio)","contact":{"location":"Seattle, WA","email":"aryandokania2001@gmail.com","linkedin":"linkedin.com/in/aryandokania","github":"github.com/imaryandokania","scholar":"scholar.google.com/citations?user=9TPRFwEAAAAJ&hl=en"},"sections":{"summary":["Research Engineer at Microsoft on the Copilot Studio Engineering team, with hands-on experience fine-tuning large language models, developing meta-learning optimizers, and building AI-driven tools for code review and optimization.","Proficient in Retrieval-Augmented Generation, High-Performance Computing, and C++. Passionate about advancing AI-powered systems and driving innovation in developer workflows."],"education":[{"university":"University of California San Diego","location":"San Diego, CA","degree":"Master of Science in Computer Science and Engineering","period":"Sept. 2024 - March 2026","gpa":"GPA: 3.96/4.0"},{"university":"Vellore Institute of Technology","location":"Vellore, India","degree":"Bachelor of Technology in Computer Science and Engineering","period":"July 2019 - April 2023","gpa":"CGPA: 9.4/10"}],"experience":[{"title":"Research Engineer","company":"Microsoft","location":"Redmond, WA","period":"April 2026 - Present","points":["Research Engineer on the Copilot Studio Engineering team, building agentic AI experiences and LLM-powered workflows."]},{"title":"AI Researcher","company":"UC San Diego CSE Department","location":"San Diego, CA","period":"Jan. 2026 - March 2026","points":["AI Agents & Infrastructure research on CodeNib, a multi-view data system serving repository context to coding agents.","Co-authored the resulting paper (arXiv:2607.25431): reusable lexical, dense, and structural views per repository commit, with 8.7-25.4x faster graph/vector updates and 50-87% fewer trajectory tokens than grep/read baselines."]},{"title":"Software Engineer II Intern (ML)","company":"Cisco Systems","location":"Ann Arbor, MI","period":"June 2025 - Sept. 2025","points":["Fine-tuned large language models for AI code review, improving accuracy, contextual relevance, and integration into developer workflows.","Developed an LLM-based code reviewer using AWS Bedrock and a RAG pipeline with Titan embeddings to analyze pull requests for logic errors, security risks, and design issues.","Implemented optimized FAISS vector search using AWS Lambda for scalable semantic search and batch embedding generation, reducing processing time by 58%.","Built a logistic regression classifier on SBERT embeddings to evaluate LLM-generated code reviews, improving F1 score by 15% through data augmentation and hyperparameter tuning.","Worked on integrating AI Agents and MCP into the code-review workflow."]},{"title":"Graduate Researcher","company":"UC San Diego Jacobs School of Engineering (Prof. Rose Yu's Lab)","location":"San Diego, CA","period":"June 2024 - Sept. 2024","points":["Built a PyTorch-based meta-learning optimizer with adaptive momentum and gradient scaling using a two-layer LSTM and MLP architecture, trained on GPU across 100+ optimization trajectories.","Benchmarked the meta-optimizer on five unseen optimization trajectories, achieving faster convergence than gradient descent and LSTM-based baselines using learned momentum coefficients.","Published at ICLR 2025: \"Improving Learning to Optimize Using Parameter Symmetries.\""]},{"title":"Software Developer 1","company":"Oracle","location":"Bengaluru, India","period":"Aug. 2023 - June 2024","points":["Upgraded the policy system's MySQL stack (v6.0 to v8.0), doubling replication speed and improving concurrency through InnoDB tuning and parallel replication.","Containerized the Multi-Protocol Routing Agent and Policy Engine using Docker and Kubernetes, automating rollouts and reducing migration time by nearly 50%.","Migrated a core service to Oracle Cloud Infrastructure with a CI/CD pipeline, cutting deployment time by 90% and improving release reliability.","Improved VoLTE call-flow performance by profiling SIP/Diameter traffic and tuning thread pools and queue depths, reducing signaling latency during peak load."]},{"title":"Project Intern","company":"Oracle","location":"Bengaluru, India","period":"Jan. 2023 - Aug. 2023","points":["Designed a fault-tolerant network architecture and automated failover handling with Python routing logic, enabling high-availability services with ~2 ms recovery in 4G distributed infrastructure."]}],"projects":[{"title":"Distributed MPEG-DASH Video Streaming Platform","technologies":["Go","AWS S3","AWS EC2","SQLite","REST API"],"points":["Developed a video streaming backend with HTTP endpoints for uploading and retrieving MPEG-DASH segments, supporting adaptive bitrate streaming.","Designed distributed storage with chunked uploads on AWS S3 using SHA-256 consistent hashing and coordinated metadata across nodes with RAFT-based leader election on AWS EC2."]},{"title":"Intelligent gRPC Load Balancer","link":"https://github.com/imaryandokania/LoadBalancer","technologies":["Go","Prometheus","Kubernetes","Python"],"points":["Built a scalable gRPC load balancer on Kubernetes with three backend pods to enable real-time routing.","Trained a linear regression model on Prometheus metrics to compute live pod scores, reducing tail latency by 35%."]},{"title":"LLM-Based JIRA Issue Search","link":"https://github.com/imaryandokania/SearchEngine","technologies":["TypeScript","Docker","Python"],"points":["Developed a tool to retrieve similar JIRA issues and surface linked resolutions for new tickets.","Fine-tuned LLaMA 3.1 on historical issue data to rank and link similar past tickets with detailed context.","Containerized the backend with Docker and built a TypeScript front-end for search."]}],"skills":{"languages":["C++","C","Java","Go","Python","SQL","JavaScript","TypeScript","Bash"],"mlAi":["PyTorch","TensorFlow","Scikit-learn","XGBoost","Hugging Face","LangChain","AI Agents"],"cloudTools":["AWS (EC2, S3, Bedrock, Lambda)","GCP","Oracle Cloud Infrastructure","REST APIs","Git","Docker","Kubernetes","MySQL","MongoDB","gRPC"],"certifications":[{"name":"AI Certification","link":"https://drive.google.com/file/d/1IM3w4l7EMDbjPw-LNdsm08_Etiy5SZg3/view?usp=sharing"},{"name":"NLP Certification","link":"https://coursera.org/share/98c7233c870ae2ed0b1a843ee7840260"},{"name":"UNIX and Linux Certification","link":"https://drive.google.com/file/d/1P5ZbUVSF2zocQBsKVcLQEafTJvBAq4vj/view?usp=sharing"}],"coursework":["Database Systems","Computer Networks","Operating Systems","Machine Learning","Distributed Systems"]},"achievements":[{"title":"SPOT Award","description":"Recognized at Oracle for outstanding engineering performance."},{"title":"Merit Scholarships","description":"Awarded scholarships for academic excellence in 2021, 2022, and 2023.","links":["https://drive.google.com/file/d/1tpcuvjg4dUV7OKPnBoYHUY5Lmw714FR4/view?usp=share_link","https://drive.google.com/file/d/1tWpVBqV4fi2Brqe1fVq3kJ_vHFzgmsss/view?usp=share_link","https://drive.google.com/file/d/1AmbNINUbuMSymKhOt-PamwOWQc0rI3VL/view?usp=share_link"]}],"research":[{"title":"CodeNib: A Multi-View Data System for Serving Repository Context to Coding Agents","authors":["Zhongming Yu, Hengjia Yu, Boqin Yuan, …, Aryan Dokania, …, Jishen Zhao (15 authors)"],"venue":"arXiv preprint, cs.SE","year":"2026","link":"https://arxiv.org/abs/2607.25431"},{"title":"Improving Learning to Optimize Using Parameter Symmetries","authors":["Guy Zamir","Aryan Dokania","Bo Zhao","Rose Yu"],"venue":"ICLR Workshop on Neural Network Weights as a New Data Modality","year":"2025","link":"https://arxiv.org/abs/2504.15399"},{"title":"Enhanced Grammar Error Detection and Correction Using Hybrid Algorithm","authors":["Aryan Dokania","Aditya Bamb","A. M. Lal"],"venue":"Innovations in Power and Advanced Computing Technologies (i-PACT)","year":"2023","link":"https://ieeexplore.ieee.org/document/10224909"},{"title":"Secure File Sharing System Using Hybrid Authentication and Secured Key","authors":["Aryan Dokania","Aditya Bamb","J. Dheeba"],"venue":"Intelligent System and Data Analysis: SSIC 2023 Doctoral Symposium","year":"2023","link":"https://link.springer.com/chapter/10.1007/978-3-031-57897-2_36"}]}}}