Dakshitha is a full-stack engineer with 2+ years building distributed systems and operational excellence, shipping features faster through AI-native workflows.
Driven by a simple obsession: Customer problems, solved at scale.
Tech Stack
I work across backend services, data platforms, developer tooling, and AI integrations, with a focus on reliability, throughput, and shipping fast without compromising quality.
Languages & Frameworks
- Java
- Python
- Spring Boot
- React.js
Backend & Data
- PostgreSQL
- MySQL
- Redis
- Kafka
- Kubernetes
- REST APIs
Tools & Testing
- Grafana
- SonarQube
- Docker
- Git
- Postman
- JUnit
- Mockito
AI / ML
- LLM integration
- RAG
- Agentic systems
- Fine-tuning
- MCP
- Context engineering
Projects
A mix of side projects and production systems, across AI tooling, data platforms, and incident response, built end-to-end with a focus on reliability and developer leverage.
The path so far.
Worked across data platform reliability, cost optimization, AI tooling, and incident response.
2020 - 2024
B.E at R V College of Engineering
Electronics & Communication·. Bangalore
CGPA 8.18 / 10
Roles & communities
- Student Placement Coordinator - helped coordinate campus recruitment and connect students with hiring teams.
- CARV Access - member of the campus cinematography group; produced and edited short-form content for college events.
- Rotaract Club - volunteer and member; participated in community service drives and student initiatives.
Sep 2023 - Feb 2024
Research Assistant Intern
Indian Institute of Science · Bangalore
- Implemented an AES encryption layer for ADS-B aviation data, keeping system overhead within 5% across 50+ validation scenarios.
Mar - Sep 2024
Software Engineer Intern
A.P. Moller – Maersk · Bangalore
- Built a tracking dashboard with 10+ REST APIs that eliminated 90% of direct database queries and cut debugging time by 60% per incident, with improved data security through controlled API access.
- Refactored legacy code across 10+ microservices, resolved 300+ SonarQube smells, and reached 95% unit-test coverage.
Oct 2024 - Present
Associate Software Engineer
A.P. Moller – Maersk · Bangalore
- Cut Kubernetes infrastructure cost by 23% - analyzed resource over-provisioning across data platform services for $48K+ annual savings ($577/day → $446/day).
- Received a SPOT Award for resolving a production memory leak with a 300K+ message backlog; restored processing in 2.5 hours with zero data loss.
- Built a RAG developer assistant (OpenAI LLM + ChromaDB) over 50K+ lines of legacy data-platform code, cutting new-engineer ramp-up time.
- Reduced container-tracking MTTR by ~67% (~30 min → under 10 min) via 10+ structured triage slash commands automating the full SNOW-to-RCA pipeline across 17 production databases.
- Built a location enrichment service processing 2M+ daily records, reducing data loss by 15% and unlocking real-time tracking for 10K+ shipments.
- Onboarded Gnosis and OpenTech data providers, enabling 10K+ daily shipment updates.
Full-stack engineer focused on distributed systems and AI-native delivery.
I enjoy translating messy operational problems into reliable software, whether that's cutting infra cost, building RAG-based developer tooling, or shaping data pipelines that keep up with production scale. Open to product and platform engineering roles where I can own systems end-to-end.