Daksh Dave
Graduate Researcher @Commonwealth Cyber Initiative Cci
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WORK HISTORY
Graduate Researcher @Commonwealth Cyber Initiative Cci
Washington, DC, US
LLM Pre-Training, LLM-Post Training, Knowledge Graphs, Recommender System, Security and Privacy, Networks, Decentralised Blockchain Systems, Reinforcement Learning
EDUCATION
Virginia Tech
Master of Science - MS, Computer Engineering (ML Specialization)
Birla Institute of Technology and Science, Pilani
Bachelor of Engineering - BE, Electrical and Electronics Engineering
Narayana CO Sch
10th
Shiv Jyoti Public School
12th
Vibrant Academy
High School Diploma, Engineering
ABOUT DAKSH DAVE
Greetings,Welcome to my LinkedIn profile! If you\'re reaching out for the first time, kindly include a brief message sharing your connection purpose. It helps establish a more meaningful connection.At my core, I\'m an entrepreneurial developer and researcher passionate about pushing the boundaries of technology. My journey has spanned 5+ years, from developing recommender systems at Samsung then building large-scale trading analytics at Wells Fargo to architecting AI-driven security solutions, along-with pursuing ventures to deepen my expertise in machine learning, networking, cybersecurity, and high-performance computing.I thrive at the intersection of software engineering and research, where I design scalable, intelligent systems that power cutting-edge AI applications and real-time data processing. Whether it\'s developing AI-powered security frameworks for 5G networks, optimizing cloud-native architectures, or leading the evolution of autonomous computing, I embrace challenges with a research-driven mindset and a hands-on approach to problem-solving.From writing mission-critical trading algorithms to building high-performance AI pipelines, my work has spanned financial markets, enterprise AI, recommendation systems, cybersecurity, and SaaS. At Virginia Tech, I continue to push the boundaries of innovation, blending applied research with real-world software solutions.Above all, I am driven by curiosity always learning, always experimenting, and always seeking the next big breakthrough. Whether it’s leading high-impact projects, mentoring teams, or tackling cutting-edge research, my passion lies in solving complex problems that shape the future of technology.You can view more about me: https://dakshdave.site/TOOLS AND TECHNOLOGIES:Core Models: LLMs, Transformers, Deep LearningDL Frameworks: PyTorch, JAX, TensorFlowGenAI Stack: LangChain, LlamaIndex, RAG, Hugging FaceCore Stack: Pandas, NumPy, Scikit-learnVector Databases: Pinecone, ChromaDB, Milvus, WeaviateGraph Databases: Neo4jDatabases: PostgreSQL, Redis, MongoDBStreaming/Processing: Kafka, Apache Spark, Apache FlinkProgramming FrameworksLanguages: Python, Go (Golang), C++, Rust, Java, ScalaBackend Frameworks: FastAPI, gRPC, Django, Spring BootLanguages: HTML, CSS, JavaScript, TypeScriptDevOps & MessagingOrchestration: Kubernetes (K8s), Docker, TerraformMessaging: RabbitMQ, KafkaCI/CD & MLOps: Weights & Biases (W&B), MLflow, Git, Jenkins, DVCHPC: CUDA, SlurmCloud Platforms: AWS (esp. SageMaker), GCP (esp. Vertex AI), AzureOperating Systems: Linux, Unix
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