Enterprise engineering
Designing maintainable services and integrating complex systems with a focus on reliability and clear interfaces.
Software Engineering · Applied AI · Enterprise Systems
Engineering practical solutions for complex problems.
I'm Vamsikrishna, a UK-based Senior Software Engineer with 8+ years of experience building enterprise platforms, financial technology and cloud-native applications. I'm growing into forward-deployed engineering—connecting real business needs with robust software and applied AI.
What I bring
Engineering depth. Business focus.
Forward-deployed work is about more than writing code. It combines discovery, solution design, integration and reliable delivery. These are the strengths I'm building on.
Applied AI solutions
Bringing retrieval, agents and LLM capabilities into practical software workflows.
From design to delivery
Connecting architecture, backend implementation, cloud infrastructure and business requirements.
Professional background
Experience
A foundation in enterprise services, financial analytics, integration and modernisation.
Senior Software Engineer
Accenture UK
2024 — Present
- Developing enterprise applications and scalable Java/Spring Boot microservices.
- Designing REST APIs and integrating intelligent data-processing capabilities.
- Working with cross-functional teams on cloud-native software delivery.
Software Engineer
Level E Research
2022 — 2024
- Built backend services for financial analytics and investment platforms.
- Developed market-data APIs and integrated machine-learning models.
- Optimised SQL queries and application performance.
Technology Analyst
Infosys
2018 — 2021
- Developed Spring Boot microservices and REST APIs.
- Supported legacy-system modernisation and reliability improvements.
Software Engineer
Apalya Technologies
2018
- Developed OTT billing and subscription backend services.
- Worked on database design and application integrations.
Selected work & explorations
Projects & technical case studies
A mix of CV-based engineering experience and an explicitly labelled personal project concept. Expand any card to explore the problem, approach and high-level architecture.
Portfolio case study
Generative AI / RAG
Enterprise AI Knowledge Assistant
A document-aware assistant that uses retrieval and semantic search to ground answers in enterprise knowledge.
Explore case study +
Problem
Finding trustworthy information across large document collections can be slow and inconsistent.
Solution approach
Ingest documents, split and embed text, retrieve relevant passages, and provide an LLM with grounded context and citations.
Architecture flow
Document upload→ Chunking + embeddings→ Vector retrieval→ LLM response
Based on experience described in my CV. Public live demo and code are not yet linked.
Portfolio case study
AI Agents / Integration
AI Workflow Automation
A tool-using AI workflow concept for orchestrating multi-step business operations with explicit controls.
Explore case study +
Problem
Repetitive work often crosses systems and requires human review.
Solution approach
Use structured tool calls, API adapters, state tracking, audit logs and human approval before sensitive actions.
Architecture flow
User request→ Agent orchestration→ Approved tools→ Audit trail
Based on experience described in my CV. Public live demo and code are not yet linked.
Planned personal project
FinTech / Architecture
Intelligent Payments Operations
A proposed ISO 20022 payments simulator for understanding settlement, duplicate detection and operational exceptions.
Explore case study +
Problem
Payment systems need clear status tracking, reliable validation and resilience to retries and failures.
Solution approach
Model payment ingestion, schema validation, idempotency, simulated settlement and reconciliation with an operations dashboard.
Architecture flow
ISO 20022 input→ Validation→ Simulated settlement→ Reconciliation
Concept only. Not affiliated with the Bank of England or a production payment system.
Technology
Technical toolkit
The tools and engineering disciplines I work with across application, data and cloud layers.