Jan 2022 – Present · 4 yrs 4 mos

• I build production-grade backend services in Rust, focused on high-performance APIs, asynchronous concurrency, and clean, maintainable architecture. I’ve used Rust in full-stack projects for authentication, database integrations, and containerized deployments, with limited embedded exposure (Embassy) for learning.
• Actix Web: Built REST APIs with routing, middleware, guards, and consistent response/error mapping.
• Tokio: Async execution for high-concurrency I/O (HTTP, database, background jobs, timeouts, retries).
• Diesel / SeaORM: Data access with typed queries and async-first ORM patterns; migrations for schema evolution.
• JWT: Stateless authentication using jsonwebtoken (issue/verify tokens, claims, expiry).
• Error Handling: thiserror for clean error enums + anyhow for application-level propagation; mapped to API status codes.
• Testing: Unit + integration tests using cargo test and Actix test utilities (handlers, services, edge cases).
• API Docs: OpenAPI/Swagger documentation using utoipa (or similar) for discoverable endpoints.
• Config + Secrets: Env-based configuration using config + dotenvy; secrets injected via environment/deploy config.
• Logging & Tracing: tracing + tracing-subscriber for structured logs, request correlation, and production debugging.
• Security: Input validation, CORS, password hashing (argon2/bcrypt), and safe token handling practices.
• Docker: Multi-stage builds for small, production-ready containers.
• Embedded (Embassy): Minimal hands-on; explored async patterns and embedded Rust workflows.

Jan 2021 – Present · 5 yrs 4 mos · Remote

• I am working as an Agentic AI Engineer building Generative AI and LLM-powered systems for business workflows.
• Agentic AI Systems: Designed agentic AI systems that turn natural language into executable workflows using tool calling, structured outputs, memory, and orchestration.
• Generative AI Engineering: Built Generative AI and LLM applications for reasoning, summarization, question answering, content generation, and workflow automation.
• Multi-Agent Architecture: Implemented single-agent and multi-agent systems using planner-executor, ReAct, and tool-augmented reasoning patterns.
• RAG Pipelines: Developed end-to-end RAG pipelines across PDFs, APIs, databases, and enterprise knowledge with optimized chunking, embeddings, and retrieval.
• Vector Search & Retrieval: Implemented semantic search using embeddings, vector databases, HNSW, and IVF for scalable, low-latency retrieval.
• AI Systems Engineering: Integrated AI with ERP systems, APIs, backend services, and industrial environments for practical automation.
• Applied AI Delivery: Delivered Applied AI solutions focused on measurable business outcomes and production readiness.
• Data Engineering: Built data pipelines for ingestion, transformation, and processing from PLCs, SCADA, MySQL, MongoDB, and PostgreSQL.
• ML/DL Foundation: Applied machine learning and deep learning for prediction, classification, anomaly detection, and optimization.
• Model Quality: Performed feature engineering, evaluation, error analysis, validation, and hyperparameter tuning to improve generalization.
• MLOps / LLMOps: Applied reproducible workflows, model versioning, guardrails, evaluation pipelines, and lifecycle management for AI systems.
• Deployment & Cloud: Deployed AI systems using APIs, modular services, containers, cloud environments, monitoring, and observability.
• Reliability & Governance: Improved latency, scalability, cost, safety, human-in-the-loop control, and responsible AI practices in production.

Jan 2020 – Mar 2026 · 6 yrs 2 mos

• As an AI Trainer, I deliver customized corporate training sessions and individual coaching to equip professionals with practical, hands-on skills in artificial intelligence. My sessions adopt a framework-first approach, prioritizing the use of industry-standard tools and libraries such as PyTorch, TensorFlow, and Scikit-Learn. This approach ensures participants gain actionable expertise in AI development and deployment without delving into complex mathematical theories. Training programs are tailored to various skill levels, enabling both beginners and advanced learners to excel in their roles and contribute effectively to AI-driven initiatives.
• Python for AI: Teach Python programming tailored for AI applications.
• Classical Machine Learning: Train participants in implementing algorithms using Scikit-Learn for predictive modeling and analysis.
• Deep Learning: Offer in-depth guidance on PyTorch and TensorFlow, focusing on architectures like CNNs, RNNs, and transformers.
• Generative AI: Introduce foundational concepts of generative models, including LLMs, GANs, VAEs, and diffusion models.
• Model Deployment and Scaling: Teach techniques for deploying AI models efficiently in production environments.
• Key Features of Training:
• Emphasis on frameworks and tools over theoretical mathematics.
• Hands-on exercises to ensure practical learning and application.
• Real-world use cases to demonstrate AI's impact across industries.

Jan 2018 – Mar 2026 · 8 yrs 2 mos

• I have consulted to manufacturing companies on implementing Industry 4.0 solutions correctly
• Conduct site visits to various industries, fostering awareness of Industry 4.0 concepts and technologies among stakeholders.
• Analyze and comprehend industrial processes, engaging with shop-floor personnel and higher management to assess readiness for Industry 4.0 integration.
• Provide tailored Industry 4.0 solutions based on a deep understanding of each industry's processes and requirements.
• Collaborate with cross-functional teams to assess existing machinery and sensor systems, contributing to the development of robust architecture for Industry 4.0 implementation.
• Focus predominantly on the IT aspects of Industrial Internet of Things (IIoT) projects, ensuring seamless integration and optimization of IIoT systems.
• Demonstrate expertise in IIoT system architecture, designing scalable and resilient systems to meet diverse industrial needs.
• Implemented AI-powered anomaly detection and basic predictive maintenance solutions, leveraging machine learning algorithms to enhance equipment reliability and reduce downtime.
• Successfully implement software systems incorporating Programmable Logic Controllers (PLCs), Supervisory Control and Data Acquisition (SCADA), and Human-Machine Interface (HMI) technologies.
• Adapt Industry 4.0 solutions to both legacy and modern machinery, ensuring compatibility and efficiency across the spectrum.
• Proficient in a wide range of communication protocols including OPC UA, Modbus, Profinet, EtherNet/IP, BACnet, MQTT, DDS, , ensuring interoperability and seamless data exchange.
• Lead the implementation of end-to-end systems capable of collecting data from the edge and transmitting it to cloud-based platforms for analysis and decision-making.
• Develop mobile applications, visualization dashboards, and other customized solutions to meet specific client requirements, enhancing user experience and facilitating data-driven decision-making.

Jun 2011 – Mar 2026 · 14 yrs 9 mos

• As a freelance fullstack developer, I specialize in agile project management and crafting tailored solutions for diverse clients. With a focus on client collaboration and continuous improvement, I deliver high-quality software products that exceed expectations.
• Client Base: Developed software solutions for 40+ clients.
• Project Management: Implemented Agile methodology.
• Requirements Management: Determined, documented, and improved system requirements.
• Team Leadership: Led a team of 20 experts from inception to completion.
• Stakeholder Collaboration: Worked closely with Product Owners and Domain Experts to meet deadlines and expectations.
• Customer Engagement: Collaborated with customers to define product scope.
• Load Management: Communicated system load limitations to devise effective strategies.
• Quality Assurance: Ensured high-quality systems through proper testing and corrections.
• Customer Communication: Provided regular updates and addressed concerns.
• Prototype Development: Designed proof-of-concept prototypes.
• Interpersonal Skills: Improved collaboration and relationships through communication.
• Technology Stack: Utilized Java, NodeJs, and Kotlin predominantly.
• API Development: Built APIs for Mobile, Web Apps, and IoT Devices using Spring Boot and ExpressJs.
• API Security: Implemented security measures using Spring Security, Keycloak, JWT, OAuth2, and OpenID Connect.
• Frontend Development: Developed frontends using Angular and React.
• Mobile Development: Created Mobile Apps using Native Android and Flutter.
• Microservices Architecture: Employed Spring Cloud Microservices.
• Cloud Deployment: Deployed applications on AWS.
• Testing: Conducted comprehensive tests on all applications.
• Continuous Improvement: Recommended and implemented improvement plans.
• Please refer to my resume for further details regarding this role.

Jun 2011 – Mar 2026 · 14 yrs 9 mos

• As a freelance corporate trainer, I provide practical, collaborative fullstack and AI training sessions, ensuring high-quality learning experiences tailored to diverse industries.
• Corporate Trainings: Conducted comprehensive training sessions for professionals in various industries.
• College Workshops and Seminars: Organized and led engaging workshops and seminars in colleges.
• Technologies Covered: Spanning from basic programming languages to advanced full-stack technologies like Java, MEAN, MERN, as well as AI, Data Science, Machine Learning, and Deep Learning.
• Please refer to my resume for further details regarding this role.

Jun 2011 – Mar 2026 · 14 yrs 9 mos

• As a freelance Mobile App Developer, I have done following things
• Requirement Gathering: Proficient in gathering and analyzing project requirements to ensure alignment with business objectives and user needs.
• Feasibility Checking: Conduct thorough feasibility assessments of project requirements to determine technical viability and potential challenges.
• End-to-End App Development: Demonstrated capability in independently developing mobile applications from concept to deployment, ensuring high-quality deliverables.
• Team Leadership: Led and managed a team of 7 professionals, fostering collaboration and ensuring timely project completion.
• UI Development: Created intuitive and visually appealing user interfaces based on provided mockups, enhancing user experience and engagement.
• Android Expertise: Extensive experience working with various versions of the Android platform, staying updated with the latest technologies and best practices.
• Backend Integration: Proficient in writing and seamlessly integrating backend functionalities into mobile applications to enable robust performance and enhanced user experience.
• App Deployment: Successfully deployed applications on various app stores, ensuring compliance with platform guidelines and standards.
• Security Implementation: Implemented industry-standard security practices to safeguard user data and ensure the integrity of mobile applications.
• Hardware Interfacing: Extensive experience in integrating hardware components with mobile applications, enhancing functionality and usability across diverse domains.
• Domain Expertise: Worked across diverse domains including manufacturing, healthcare, and CRM, gaining valuable insights into domain-specific requirements and challenges.