Top Vector Database Engineers

Experienced AI/ML Engineer with 9+ years driving the design, deployment, and operationalization of scalable machine learning and Generative AI platforms across cloud-native environments (GCP & AWS). Specialized in LLMOps, retrieval-augmented generation (RAG), and multimodal AI using cutting-edge technologies like LangChain, Hugging Face Transformers, Vertex AI, and Stable Diffusion. Proven track record in fine-tuning and deploying advanced LLMs including LLaMA2, Mistral, Gemini, and PaLM API, building secure, high-performance model serving infrastructures with BentoML, KServe, and Ray on Kubernetes. Passionate about bridging innovation and production excellence to deliver intelligent document processing, semantic search, and end-to-end MLOps solutions. Led large-scale LLM deployment projects involving distributed model inference using Ray on Kubernetes clusters / Built centralized prompt orchestration systems using PromptLayer for reusable, optimized prompt engineering / Integrated monitoring and drift detection in production using Evidently AI, Prometheus, and Grafana / Designed secure document retrieval systems using RAG pipelines integrated with enterprise-grade IAM / Delivered serverless scoring and reporting pipelines using Cloud Scheduler, AWS Lambda, and Cloud Run / Developed explainable AI workflows using SHAP and LIME for compliance and stakeholder transparency / Built scalable multi-model serving platforms with support for parallel inference across GPUs / Automated data validation, schema enforcement, and transformation for structured and unstructured data / Architected feature stores using Feast and BigQuery to serve real-time and batch ML models / Migrated legacy ML infrastructure to cloud-native architectures using Terraform and Kubernetes / Standardized deployment workflows using TFX for lifecycle tracking, evaluation, and rollout governance / Maintained compliance-aligned ML documentation and operational playbooks across regulated domains / Developed RESTful and serverless APIs for LLM, NLP, and vision models with FastAPI and Flask

Binary Solutions leverages my expertise in software development life cycle (SDLC), Node.js, and front-end development to deliver user-friendly digital solutions. As a Web Developer since 2022, I have contributed to the design and implementation of robust web applications, collaborating with teams to optimize functionality and user experience. My role emphasizes creating efficient, scalable, and innovative solutions that align with client needs. I bring a focused and strategic approach to software development, ensuring seamless integration of systems while addressing dynamic challenges in the tech landscape.

* Over 10 years of experience in designing, developing, and deploying enterprise-scale Workday HCM, Payroll, and Financial integrations across global organizations. * Skilled in architecting multi-tenant Workday integration ecosystems using Workday Studio, Extend, Orchestrations, and Cloud Connectors. * Expertise in integrating Workday with third-party Payroll, ERP, and HR systems using REST, SOAP, RaaS, EIB, and SFTP with secure, auditable, and automated workflows. * Proficient in developing advanced Workday Studio integrations with transformation logic (XSLT, JSON, XML), parallel processing, error handling, and retry mechanisms. * Experienced in configuring Workday Security Domains, Object-Level Security, Segregation of Duties, and authentication (SAML, SSO, Okta) for compliance and governance. * Strong background in Workday Extend and Orchestrations, building dynamic, scalable HR and Payroll applications with conditional logic and API orchestration. * Expertise in designing multi-tenant integration strategies, environment cloning, tenant synchronization, and version-controlled deployments. * Skilled in Prism Analytics and Custom Reports for workforce analytics, payroll reconciliation, KPI dashboards, and data-driven decision-making. * Experienced in PECI/PECL, Cloud Connect, and Payroll integrations ensuring accurate employee lifecycle, compensation, and benefits data flows. * Well-versed in data transformation, validation, and workflow automation using Calculated Fields, Business Process Framework, and RaaS integrations. * Strong command of Workday Governance (GRC), GDPR automation, and endpoint authentication for secure, compliant data operations. * Hands-on experience with CI/CD, Azure DevOps, and Workday Launch pipelines for version-controlled integration deployment and rollback management. * Proven expertise in monitoring and troubleshooting using Workday Integration Cloud, Audit Reports, ServiceNow, Jira, and event-based alerting mechanisms. * Adept at documenting integration specifications, architecture diagrams, and transformation logic to support audits, compliance, and KT processes. * Collaborative consultant skilled in translating complex HR, Payroll, and Finance requirements into scalable, automated Workday solutions aligned with enterprise policies.

Talent Acquisition Specialist | AI-Powered Recruitment InnovatorEnthusiastic Talent Acquisition Specialist at Otomeyt.ai, leveraging AI-driven tools to bridge talent gaps and build a future-ready workforce. Skilled in recruitment automation, candidate engagement, and optimizing hiring workflows. Dynamic and detail-oriented with expertise in leveraging machine learning, data analytics, and AI-driven tools to solve complex problems. Experienced in building data dashboards, predictive models, and implementing insights to optimize business operations and recruitment processes. Proficient in Python, SQL, Tableau, and statistical methods, with hands-on experience in energy forecasting, customer segmentation, and market analytics. Passionate about enabling data-driven decisions and fostering innovation. Currently enhancing expertise in data science and machine learning through advanced training at Scaler.

I’m a Software Engineer working at the intersection of data engineering, AI systems, and applied machine learning. I currently build scalable chatbot analytics platforms from scratch, transforming large-scale conversational data into actionable business insights. My work focuses on designing backend systems for high-volume data ingestion, vector search, and RAG-based analytics, enabling ad-hoc natural language queries over millions to billions of records. I enjoy solving system design challenges such as performance optimization, fast vs deep analytical query execution, and building rule-based insight frameworks for trends, anomalies, and success/failure signals. I have hands-on experience with Python, PySpark, vector databases, LLM-based agentic workflows, and cloud-native data systems. I enjoy working on complex problems where data, AI, and product thinking come together to create practical, scalable solutions.

A hardworking, highly motivated professional with 10+ years of experience eager to lend combined knowledge and skills to enhance business performance. Operates well in both individual and team capacities, leveraging a seasoned work ethic to quickly adapt to different processes and drive company objectives. Resourceful and results-driven with a passion for growth and efficiency to meet company needs and increase service value. Proven expertise in UI (ReactJS) and AI, specifically architecting UI and AI RAG-based applications. Demonstrated ability to gather and analyze business requirements, manage teams, resolve technical issues, develop user stories and create and manage REST APIs using Python FastAPI. Skilled in utilizing PyTorch, TensorFlow and LangChain for AI development, including training pretrained transformer models. Proficient in Java Spring Boot for backend services, HTML design, Flutter for cross-platform mobile applications and Gradio for creating user interfaces for machine learning models. Experienced in developing Chrome extensions and implementing functionalities for data extraction and processing, continuously improving business processes.