I'm Bhavan Vinjam, a versatile Software Developer with a strong foundation in both front-end and back-end technologies. With advanced degrees in Public Administration and Psychology, and a Bachelor’s in Information Studies with a focus on Health Informatics, I blend analytical skills with technical expertise to deliver robust web solutions. As a current Doctoral student in Systems Science within Thomas J. Watson College of Engineering and applied science, I am eager to contribute my expertise, skills, and passion for learning to support the university and its various intricacies. I hope to provide a diverse approach and skill set that aligns with the needs of this role. A little dive into my background, I am an innovative data professional with expertise in engineering and analyzing complex datasets to drive strategic decision-making. I am proficient in Python, SQL, and Tableau as well as Power BI among other tools that deliver actionable insights that enhance operational efficiency and forecast accuracy. Additionally, skilled in implementing ETL processes and managing data pipelines using big data tools like Hadoop and Spark, achieving substantial improvements in data processing capabilities. Demonstrated success in collaborating with cross-functional teams for system upgrades and project implementations, fostering a culture of continuous improvement. A proactive problem-solver with a proven record in predictive modeling and machine learning, employing advanced algorithms to extract insights and enhance decision-making processes, leading to a remarkable 95% efficiency rate. My technical toolkit includes HTML5, CSS, JavaScript, Bootstrap, and Node.js for creating dynamic and responsive user interfaces. On the back end, I leverage languages such as Python, Java, and C# with frameworks and libraries like node.js and .NET to build scalable applications. My experience extends to integrating databases (SQL Server, MySQL, MongoDB) and utilizing cloud platforms (AWS, Azure) to enhance application performance and reliability.

* Deliver detailed Master Data Management/Data Governance/Analytics/Cloud roadmaps/architecture or architecture reviews for secure, scalable, and reliable Cloud/Hybrid or On-prem solutions. Quick ramp-up and communication to others on how to implement * Peer review, gap/risk assessments on existing roadmaps/architecture * Draft/review RFP/RFQ specs or responses * Help headhunters/agents quickly vet out peer candidates on urgent submissions * Highly versed in public sector * Over 24 years in architecting and building full-cycle BI and analytics solutions. Developed corporate BI/DW program strategies, advised on data governance and steered organizations through selections of technology partners in a variety of verticals Hands-on: • Data Governance: Azure Purview, Profisee MDM, MDS, Ataccama ONE, etc. • Cloud: Microsoft Purview, Azure Data Factory, Azure Synapse Analytics, Power BI, etc.

PROFILE Dynamic Senior Data & Analytics Engineer with over eight years of robust experience in designing and optimizing data solutions that drive business insights and operational efficiency. Proficient in leveraging advanced modern stack technologies such as AWS, Databricks and Snowflake to create scalable data pipelines and effective data models. Strong expertise in data visualization tools and methodologies ensures impactful reporting and decision-making support for stakeholders. A proven track record of collaborating with cross-functional teams to align data strategies with business objectives, fostering an environment of continuous improvement and innovation.

I am a Senior Data Engineer with over 14 years of experience specializing in data engineering and backend systems. I excel in building robust data pipelines, data platforms, and data warehousing solutions for large-scale distributed systems. My expertise spans real-time and batch processing, as well as NoSQL databases, allowing me to design efficient solutions that meet complex business needs. I have successfully contributed to various projects with a focus on scalability and performance, helping teams unlock value from their data. If you're looking for a seasoned professional who understands the intricacies of data architecture and can deliver impactful results, I would love to discuss your project and how I can contribute to your success.

Need a production-ready AI Agent, RAG, or real-time Voice AI system—not just another demo? I help startups and product teams architect, build, and launch reliable LLM applications from concept to production. I have 10+ years of software engineering experience and 8+ years of engineering leadership experience. My background includes OOCL, Alibaba/Tmall, Meizu, and my current role as R&D Director and Chief Architect at WakeData. What I can help you build: • AI Agents with planning, tool/function calling, multi-agent collaboration, task delegation, state management, and human approval workflows • RAG systems with document ingestion, embeddings, vector search, retrieval strategies, context management, and evaluation • Short-term context and long-term user memory for personalized AI applications • Real-time Voice AI integrating ASR, TTS, translation, WebSocket streaming, and LLM orchestration • Production AI backends using Python, FastAPI, Celery, Redis, MySQL, and Milvus • Scalable Java/Spring microservices and high-concurrency, high-availability enterprise architecture • Architecture reviews, technical roadmaps, performance optimization, and cost reduction Recent relevant experience: • Built a production AI backend for smart glasses, covering voice interaction, intent understanding, multi-expert agent orchestration, AI diary and calendar, translation, long-term memory, asynchronous tasks, logging, and troubleshooting • Built a 0-to-1 enterprise product suite covering membership operations, e-commerce, marketing automation, and customer data platforms • Led complex, long-running enterprise projects for major consumer and commercial-property brands • Led a large-scale MySQL-to-HBase migration that saved millions of RMB in annual storage costs • Published author of an HBase technical book and a distributed-database course; holder of two software architecture patents I combine architect-level system thinking with hands-on implementation. My focus is always on reliability, latency, maintainability, security, and business results. If you need a senior engineer who can turn a difficult AI idea into a stable production system, send me a message and tell me what you are building.

I want provide value to an organization’s engineering team in a dynamic & challenging role as a Cloud, DevOps, or Site Reliability Engineer with emphasis on personal career development, forward thinking, teamwork, integrity and efficiency.

I'm a Senior Backend Engineer with 15+ years of experience building backend systems. I specialize in Kotlin, Java, Spring Boot, Kafka, and distributed systems. I've worked on fintech products, cryptocurrency exchanges, big data platforms, and AI-powered applications. I can help you build new backend services, develop APIs, improve system performance, or integrate AI into your existing product. I value clean code, clear communication, and reliable delivery.

Helping companies solve problems with Neo4j. Creating great ideas with LLM and Knowledge Graph, Cypher queries, and Graph Algorithms. I am an expert in Neo4j with extensive experience installing and configuring causal clusters and integrating them with other technologies such as Kafka and MongoDB. My main focus has been designing complex data architectures and optimizing data model performance in Big Data environments. I also have experience creating graph data models from scratch, building automatic matching tools using Cypher queries, and projecting Graph Algorithms and Knowledge graph creation for RAG applications. My primary goal is to help organizations make the most of Neo4j to improve their processes and provide innovative solutions (I)-[:LOVE]-(graphs)

Software Engineer with 10+ years in backend development, DevOps, and data engineering. I like building the tools and services that make a system work, and I adapt to whatever stack a project needs. Currently I build and maintain backend APIs in Python (FastAPI) and Java (Spring Boot) on Kubernetes and AWS, with recent NLP work on entity detection and linking (ReFinED), knowledge graphs, and GenAI features. Earlier on I built ETL and streaming pipelines with Spark and Flink (Scala) across the Hadoop/Cloudera ecosystem, and contributed to a real-time transactionscoring engine for fraud detection.Particular interests include the JVM ecosystem (Java, Scala, Kotlin) and stream processing (Flink, Spark), alongside Python and cloud infrastructure. Education: Bachelor's in Statistics + Graduate degree in Data Science & Big Data.

I am a Principal Software Architect with 28 years of experience in designing and implementing enterprise-scale solutions. My expertise encompasses cloud-native platforms, RESTful APIs, and data integration architectures, utilizing C# and Java to deliver secure and high-performance systems. I specialize in aligning technology strategies with business goals, employing Domain-Driven Design and Clean Architecture principles. Having led cross-functional teams and driven modernization initiatives, I focus on harnessing emerging technologies and architectural best practices. As a former leader of the DFW Architecture & Design Special Interest Group, I am dedicated to mentoring others and sharing knowledge. If you need a strategic partner to transform your software architecture and drive successful outcomes, I am here to help. Let's discuss how I can contribute to your project’s success.