Available to hire
Software engineer with production experience across mobile, backend, and data systems, focused on building reliable, scalable workflows. Strong in Python and real-time data pipelines, with hands-on experience debugging distributed systems, improving performance, and automating processes to reduce manual effort. Works best in environments where system reliability, data flow, and operational efficiency directly impact users.
Skills
Experience Level
Expert
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Intermediate
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Work Experience
Software Developer at LoyalMate
January 1, 2025 - PresentEngineered and maintained a production Flutter (Dart) mobile app integrated with Firebase (Auth, Firestore, Cloud Messaging), serving 5,000+ weekly active users across real-time transactional workflows. Delivered admin dashboard interfaces in React (TypeScript) and Tailwind CSS, consuming REST and Firebase APIs to provide real-time operational visibility for internal teams. Diagnosed and resolved 15+ production issues across mobile and backend layers - including auth flow failures, Firestore state inconsistencies, and async sync errors - using structured log tracing and request-level debugging. Cut API latency by ~20% by refactoring asynchronous data flows, eliminating redundant network calls, and improving client–backend interaction patterns. Built Python (Pandas) data validation pipelines and implemented Firestore stream-based state sync, reducing manual reconciliation effort by ~60% and improving cross-device consistency.
Systems Engineer (Application Support & Automation) at Ovolo Hotels
March 1, 2024 - January 31, 2025Resolved 30+ monthly incidents across application, network, and endpoint layers, reducing repeat issues by ~30–35% through root-cause fixes. Troubleshot system-level issues including DNS/DHCP, TCP/IP, and access control, strengthening understanding of enterprise system architecture. Supported Windows-based environments and enterprise systems aligned with Microsoft stack (Active Directory, identity workflows), reinforcing familiarity with .NET-hosted environments. Automated reporting workflows, improving operational efficiency by ~15–20%. Maintained deployment and support documentation, improving handover and resolution time across teams.
Data & Machine Learning Engineer at Inversion Consultancy LLP
July 1, 2023 - February 29, 2024Developed supervised ML models achieving ~92% classification accuracy using cross-validation, hyperparameter tuning, and reproducible evaluation workflows. Built Python pipelines processing 10,000+ records with structured validation and transformation layers; applied feature selection to reduce noise ~15% and improve model signal. Co-authored peer-reviewed research published in AIP Conference Proceedings on hybrid ML techniques for image forensics — combined CNN transfer learning with SVM, Random Forest, and XGBoost. Implemented an image forgery detection system with preprocessing using Python, OpenCV, and NumPy; addressed class imbalance with SMOTE and resampling techniques to improve model learning from limited forged-image samples.
Education
Master of Information Technology at RMIT University
March 1, 2024 - December 1, 2025Bachelor of Technology: Computer Science at SRM Institute of Science and Technology, Chennai, India
June 1, 2019 - May 1, 2023Qualifications
CompTIA A+
January 11, 2030 - April 7, 2026Oracle Academy – Database Foundations
January 11, 2030 - April 7, 2026NPTEL – Data Science for Engineers
January 11, 2030 - April 7, 2026Industry Experience
Software & Internet, Computers & Electronics, Professional Services, Education
Skills
Experience Level
Expert
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Intermediate
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