Summary
Developed an autonomous multi-agent commercial real-estate assistant, featuring nine specialized agents designed to streamline requirement capture, discovery, pricing, TCO modeling, optimization, negotiation, and reporting for commercial real estate.
Summary
Developed internal harness scoring agent runs against golden scenarios, surfacing per-hop traces and flagging regressions across prompt and graph revisions.
Summary
Managed facilities, tenancies, and occupancy across commercial business parks with role-based workflows using .NET Core, Web APIs, and React.
Summary
Automated per-tenancy commercial billing and invoicing with tax handling and configurable rules using .NET Core and SQL Server.
Summary
Implemented end-to-end tracking and lifecycle management of physical and IT assets using .NET Core MVC.
Summary
Developed a workflow-driven request intake, routing, escalation, and resolution system with authentication and role-based access using .NET Core, Web APIs.
Summary
Developed an AI application and tooling studio for rapid prototyping of LLM-backed applications.
Summary
Developed a web studio for composing, running, and inspecting agentic AI workflows using Next.js and TypeScript.
Summary
Developed a conversational AI agent for restaurant discovery and multi-step ordering workflows, utilizing LLM tool calling.
Summary
Developed UI aligned with Figma designs and integrated OCR APIs for automated data extraction, with detailed technical documentation using WPF.
Summary
Built dashboard-driven attendance systems integrating AI inference with MVC APIs and real-time reporting using ASP.NET MVC, PostgreSQL, and YOLOv9.
Summary
Integrated AI dataset pipelines (YOLO, COCO, Pascal VOC) with a modern React UI for annotation review and model monitoring using ASP.NET Core MVC.
Summary
Migrated a legacy WinUI application to MAUI and implemented toll and fine workflows with Fastag integration using .NET MAUI and ASP.NET Core MVC.
Summary
Developed a secure end-to-end MVC solution with authentication, authorization, and database integration.
Summary
Developed an MVC-based frontend using Razor and jQuery.
Summary
Developed an Oracle-backed MVC application with role-based access and audit-compliant data handling.
Summary
Fine-tuned a transformer to classify news articles across sports, politics, and general categories; benchmarked against a TF-IDF baseline and analyzed misclassifications.
Summary
Developed clustering and predictive models over FIFA player and match data, including player segmentation by performance attributes and match-outcome prediction; published as interactive Tableau and Power BI dashboards.
Summary
Developed a CNN with transfer learning for classification of chest CT scans on a public research dataset, including preprocessing, augmentation of DICOM imagery, class-imbalance handling, and evaluation on sensitivity/specificity.
Summary
Implemented authentication, leave management, and approval workflows built on MVC architecture with asynchronous controller actions using ASP.NET MVC and SQL Server.
Senior Software Engineer
Bangalore, Karnataka, India
Summary
Engineered advanced AI systems and agentic workflows, integrating cutting-edge LLM platforms with enterprise .NET Core and React solutions to deliver autonomous real-estate assistant capabilities.
Highlights
Engineered AI systems and agentic workflows in Python, utilizing FastAPI, LangGraph/LangChain orchestration, RAG over pgvector, and OpenAI/Claude LLMs, integrating with enterprise .NET Core and React platforms within the same role.
Architected an autonomous nine-agent commercial real-estate assistant, coordinating specialized agents (requirement understanding, planning, discovery, pricing/TCO, optimization, negotiation, reporting) through a LangGraph state machine with tool calling and conditional routing.
Developed an end-to-end retrieval layer, including document ingestion, chunking strategy tuning, embedding generation, and hybrid semantic/keyword search over pgvector, to reduce hallucination on pricing and inventory queries.
Implemented agent observability and evaluation through trace logging, failure-mode triage, and a scored regression suite, ensuring quality before prompt or graph changes.
Collaborated with non-technical stakeholders across leasing, finance, and facilities to map workflows, delivering solutions from background jobs to simple automations where agents added cost without value.
Senior Software Engineer
Bangalore, Karnataka, India
Summary
Led the integration of advanced Computer Vision and Deep Learning models into enterprise applications and designed full-stack web solutions using modern .NET and JavaScript frameworks.
Highlights
Integrated Computer Vision and Deep Learning models (YOLOV9, OpenCV) into ASP.NET Core APIs, building AI inference pipelines, dataset processing (COCO, Pascal VOC), and real-time monitoring dashboards for production deployment.
Designed and implemented MVC-based web applications using ASP.NET Core MVC, C#, SQL Server, and Angular/React, architecting enterprise-grade SPAs with model binding, custom validation, API versioning, and response caching.
Implemented modular monolith and microservices-based designs, applying Repository, Unit of Work, Dependency Injection, and API Gateway patterns, and containerized .NET applications with Docker/Kubernetes.
Developed Node.js APIs for WhatsApp/SMS integration in the Forest Navigation React app, enabling real-time ranger communication with RabbitMQ-based messaging.
Developed Model, View, and Controller layers with Razor views, HTML5/CSS3/jQuery, and Entity Framework Core, optimizing SQL Server and PostgreSQL queries and implementing LINQ-based repository patterns to enhance backend performance.
Full Stack Software Engineer
Bangalore, Karnataka, India
Summary
Developed robust banking enterprise solutions, integrating Machine Learning for data analytics with secure full-stack web applications using Angular, ASP.NET MVC, and REST APIs.
Highlights
Built Machine Learning-driven analytics for banking data, including anomaly and fraud detection using predictive models in Python (scikit-learn, Pandas), exposed via ASP.NET REST APIs.
Developed large-scale banking enterprise SPAs using Angular integrated with ASP.NET MVC and REST APIs, implementing role-based authorization filters, antiforgery tokens, and session/TempData management.
Designed and optimized complex stored procedures, joins, and views for data-intensive Oracle and SQL Server banking workloads; worked with AWS DynamoDB for scalable NoSQL storage.
Built secure internal web portals and workflow-based applications under regulated-environment security, access-control, and audit requirements.
Independent AI / Data Consultant
Dublin, Dublin, Ireland
Summary
Provided independent consulting and contract engagements for SME and startup clients, delivering end-to-end data analytics, machine learning, and full-stack solutions from scoping to deployment.
Highlights
Delivered independent consulting and contract engagements for SME and startup clients across data analytics, machine learning, and full-stack delivery, managing end-to-end scoping, milestone setting, and deployment.
Designed data pipelines and analytics dashboards (Python, SQL, Power BI / Tableau / Plotly), converting raw operational data into decision-ready reporting and delivering client-facing web front-ends on ASP.NET Core MVC and Web API.
Transitioned into LLM application development from early 2023, implementing prompt engineering, embedding generation, and semantic search (sentence-transformers, FAISS) over client document sets, leading to current agentic work.
Managed engagements solo under significant ambiguity, effectively scoping loosely defined problems, setting delivery milestones, and deploying/supporting solutions in production.
Member Technical Staff
Bangalore, Karnataka, India
Summary
Developed early Machine Learning and NLP features, and built enterprise web applications and SPAs using React, Angular, and ASP.NET MVC/Core.
Highlights
Delivered early Machine Learning / NLP features, including text classification and document data extraction using Python and scikit-learn, integrated into enterprise .NET applications.
Developed multiple enterprise web applications and SPAs using React, Angular, and ASP.NET MVC/Core, incorporating Razor views, model binding, controller actions, and partial views for employee portals and internal automation systems.
Deployed and managed applications on Microsoft Azure, leveraging CI/CD pipelines via Azure DevOps and Jenkins.
Implemented LINQ and Entity Framework for data access with code-first migrations, optimized SQL Server/MySQL queries, and developed modular backend components using repository and service patterns.
Courses
Coursework across machine learning, distributed data processing, statistical modelling, data warehousing and data visualization
Applied projects in Python, SQL and Spark on large-scale datasets
Thesis / capstone: Plant Disease Classification using CNN models VGG16 etc.
Three-tier architecture, Repository patterns, Dependency injection, SOLID principles, Clean architecture, Modular monolith, Microservices designs, Repository, Unit of Work, Factory, Singleton, API Gateway patterns.
RabbitMQ, Asynchronous communication, Event-driven microservices.
NUnit, xUnit, TDD, Unit & integration testing.
Microsoft Azure (App Services, Azure Functions, Azure Storage, Azure SQL), AWS exposure, DynamoDB (NoSQL design).
Multi-agent orchestration, Agentic AI systems, LangGraph, LangChain, Autonomous agents, Supervisor/worker topologies, State-machine graphs, Conditional routing, Hand-off between specialised agents, Tool and function calling, ReAct pattern, Structured planning and decomposition, Conversation memory, Session and state management, Guardrails, Retries and execution controls, Prompt and context engineering, Zero-shot prompting, Few-shot prompting, Chain-of-thought prompting, Role-based prompting, System instructions, Retrieved knowledge, Tool definitions, Memory, Task metadata, Token-efficient context windows, OpenAI (GPT-4/4o), Anthropic Claude, Open-model endpoints, Model Context Protocol (MCP), Agent2Agent (A2A), Google ADK, CrewAI, OpenAI Agents SDK.
End-to-end RAG pipelines, Document ingestion, Preprocessing, Chunking strategy design and tuning, Embedding generation, Retrieval quality measurement, Vector databases, PostgreSQL/pgvector, FAISS, Semantic search, Hybrid semantic + keyword retrieval, Re-ranking, Grounding responses, Citation and traceability.
Structured evaluation harnesses, Agent and LLM output scoring, Golden-set scenarios, Rubric and LLM-as-judge scoring, Regression detection, Failure-mode analysis, Agent trace logs, Wrong tool selection, Retrieval misses, Context overflow, Loop conditions, Silent degradation, Production monitoring of AI services, Latency, Token cost, Error and fallback rates, OpenTelemetry, AI observability tooling, Langfuse, Responsible-AI practice, Guardrails, Input/output validation, PII and data-privacy handling, Audit-friendly logging, Knowledge graphs, Graph RAG, Multi-hop reasoning.
Machine Learning (supervised & unsupervised), Classification, Regression, Clustering, Feature engineering, Cross-validation, Model evaluation, Scikit-learn, Pandas, NumPy, Deep Learning, Neural networks (CNN, RNN, LSTM, Transformers), PyTorch, TensorFlow, Keras, Natural Language Processing (NLP), Text classification, Entity extraction, Document understanding, Hugging Face transformers, Computer Vision, YOLOv9, OpenCV, OCR, Dataset processing (COCO, Pascal VOC), MLOps fundamentals.
ASP.NET MVC, ASP.NET Core MVC, C#, Scalable web applications, Maintainable web applications, Testable web applications, Model-View-Controller architecture, Modular development, Separating business logic, data access and presentation layers.
FastAPI microservices, Async processing, API design, Background workers, Relational and vector stores integration, RESTful APIs, React, Angular, jQuery.
Docker (Dockerfiles, containerized Python and .NET applications), Kubernetes-ready deployment, CI/CD via Azure DevOps, Jenkins, Git.
Enterprise-grade Single Page Applications (SPAs), Angular (2+), React.js, Next.js, Component-based architecture, Routing, State management, Reusable UI components, API integration.
Chat and streaming response UIs, Agent trace and run inspection views, Dynamic dashboards, Admin panels, Real-time monitoring systems, Workflow-driven applications.
HTML5, CSS3, Bootstrap, TypeScript, JavaScript (ES6+), AJAX, Reactive forms, Validation, Lazy loading, Performance optimisation, Responsive design, Secure frontend practices (CSP, XSS prevention, Anti-forgery tokens).
C#, ASP.NET Core (6/7/8) Web API and MVC, Entity Framework Core, LINQ for ORM-based data access, Node.js for integration and messaging services.
PostgreSQL, SQL Server, MySQL, Oracle, Stored procedures, Functions, Views, Triggers, Indexing and performance tuning, Transaction management, Parameterized queries for performance and security.
Authentication, Authorization, Centralized exception handling, Background services, Scheduled jobs, Asynchronous processing, Automated workflows, System configuration, Health checks, Cross-cutting concerns.