I am a Full-Stack Software Engineer at Mareana, with 2 years of experience building scalable systems for regulated enterprise pharma platforms. I have worked on distributed systems, real-time collaboration services, and AI integration pipelines, delivering measurable impact such as a 35% reduction in API latency, a 70% improvement in Spark pipeline performance, and a 60% reduction in manual onboarding effort. My strongest skills include Go, Python, React.js, FastAPI, and distributed systems design. I am looking for opportunities to further expand my expertise in full-stack development and contribute to impactful engineering challenges.
Experience
Software Engineer (Full-Stack / Backend)
Mareana
Oct 2024 – Present
EBR platform (Go): built the concurrent multi-user document editing service for the Electronic Batch Record platform, letting several operators work on the same batch record simultaneously with consistent state and no overwritten changes. EBR platform (end to end): architected and delivered the Electronic Batch Record system that digitizes pharmaceutical batch workflows, improving traceability and reducing manual operations across multiple customer deployments.
SDE Intern
English Gurukul
Feb 2024 – Jul 2024
Built reusable React.js and React Native components, reducing duplication across the product. Integrated REST APIs and optimized Redux state management, reducing re-render cycles and improving responsiveness.
Education
R.V. College of Engineering, Bengaluru
B.E., Computer Science
2020 – 2024 · Grade: 8.52
Projects
Supply Chain Simulation Engine
FastAPI
SimPy
PostgreSQL
Neo4j
Discrete-event simulation platform for supply chain optimization and KPI forecasting, with REST APIs to trigger runs and stream real-time insights to frontend dashboards.
AI Chatbot Assistant
Node.js
LLM APIs
Node.js backend that orchestrates LLM APIs for a conversational chatbot, covering prompt design, API orchestration and response handling.
Achievements
Brainiac Award
2024
Recipient of Brainiac Award for re-engineering an Apache Spark pipeline over 1B+ transactional records, cutting processing time by 70%+ through partitioning, join optimization, caching and cluster tuning.
Star Performer Award
2024
Recipient of Star Performer Award for end-to-end ownership across the EBR and Simulation modules, including Docker/Kubernetes deployments with Helm and CI/CD via Jenkins and Flux CD.
Best Team Award
2024
Recipient of Best Team Award for the Supply Chain Simulation Engine project, a discrete-event simulation platform for supply chain optimization and KPI forecasting.
LeetCode and Codeforces Achievements
2024
LeetCode Knight, 1200+ problems solved, Rank 121 in a Weekly Contest; Codeforces Pupil.
Manoj M
Backend Engineer building scalable systems, optimizing billion-row pipelines, and solving complex distributed systems problems with measurable impact.
I am a Full-Stack Software Engineer at Mareana, with 2 years of experience building scalable systems for regulated enterprise pharma platforms. I have worked on distributed systems, real-time collaboration services, and AI integration pipelines, delivering measurable impact such as a 35% reduction in API latency, a 70% improvement in Spark pipeline performance, and a 60% reduction in manual onboarding effort. My strongest skills include Go, Python, React.js, FastAPI, and distributed systems design. I am looking for opportunities to further expand my expertise in full-stack development and contribute to impactful engineering challenges.
Experience
Software Engineer (Full-Stack / Backend)
Oct 2024 – Present
Mareana
EBR platform (Go): built the concurrent multi-user document editing service for the Electronic Batch Record platform, letting several operators work on the same batch record simultaneously with consistent state and no overwritten changes. EBR platform (end to end): architected and delivered the Electronic Batch Record system that digitizes pharmaceutical batch workflows, improving traceability and reducing manual operations across multiple customer deployments.
SDE Intern
Feb 2024 – Jul 2024
English Gurukul
Built reusable React.js and React Native components, reducing duplication across the product. Integrated REST APIs and optimized Redux state management, reducing re-render cycles and improving responsiveness.
Education
R.V. College of Engineering, Bengaluru
2020 – 2024
B.E., Computer Science · Grade: 8.52
Projects
Supply Chain Simulation Engine
FastAPI, SimPy, PostgreSQL, Neo4j
Discrete-event simulation platform for supply chain optimization and KPI forecasting, with REST APIs to trigger runs and stream real-time insights to frontend dashboards.
AI Chatbot Assistant
Node.js, LLM APIs
Node.js backend that orchestrates LLM APIs for a conversational chatbot, covering prompt design, API orchestration and response handling.
Skills
Go
Python
JavaScript
React.js
Next.js
FastAPI
PostgreSQL
Neo4j
Distributed Systems
SQL
Node.js
Redis
Apache Spark
Kubernetes
Docker
Linux
REST
Microservices
Concurrency
Async Processing
Celery
Query Optimization
Caching
LLM Integration
Prompt Engineering
Achievements
Brainiac Award
2024
Recipient of Brainiac Award for re-engineering an Apache Spark pipeline over 1B+ transactional records, cutting processing time by 70%+ through partitioning, join optimization, caching and cluster tuning.
Star Performer Award
2024
Recipient of Star Performer Award for end-to-end ownership across the EBR and Simulation modules, including Docker/Kubernetes deployments with Helm and CI/CD via Jenkins and Flux CD.
Best Team Award
2024
Recipient of Best Team Award for the Supply Chain Simulation Engine project, a discrete-event simulation platform for supply chain optimization and KPI forecasting.
LeetCode and Codeforces Achievements
2024
LeetCode Knight, 1200+ problems solved, Rank 121 in a Weekly Contest; Codeforces Pupil.
Ranked #6 of 15 on the ready4hire leaderboard (68 points)
Mock interviews on ready4hire
Beginner Go (Beginner)Best 68%
24 questions answered on ready4hire in the past year, 1 active day, longest streak 1 day.
