Daksh Dave

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

Experience

1. Graduate Researcher

   Commonwealth Cyber Initiative Cci

   Jan 2026 — Present · 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