Adaptive Visual learning using Augmented Reality and Machine techniques
Published by
ICRITCSA
Summary
Published research on leveraging Augmented Reality and Machine Learning for adaptive visual learning, presented at ICRITCSA.
Highly accomplished Senior Software Engineer with 5+ years of experience leading full-stack development for scalable web and mobile applications, emphasizing reliability, performance, and maintainability. Expertly translates business strategy into technical execution, driving product growth and operational efficiency through architectural leadership, technology roadmapping, and cross-functional team alignment. Proven ability to deliver production-ready solutions that consistently create measurable value and impact.
Senior Software Engineer 2
Bengaluru, Karnataka, India
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Summary
Led cross-functional engineering squads and strategic platform development to standardize practices, reduce duplication, and enable product teams to deliver business-level features.
Highlights
Architected and built a shared platform ecosystem (authentication, billing, UI foundations, analytics, AI, and translation services), standardizing best practices across teams and reducing duplication to accelerate product feature delivery.
Directed multiple cross-functional engineering squads (backend/frontend) to ensure consistent execution, smooth delivery, and alignment with product portfolio goals from discovery to production.
Contributed directly to company-wide strategic initiatives and owned critical architectural decisions, reporting to the CEO, to balance development speed, system reliability, and long-term maintainability.
Defined and executed the long-term technology roadmap, aligning architectural designs, scalability targets, and deployment strategies directly with overarching business priorities and product growth objectives.
Mentored and upskilled senior engineers and architects, elevating standards for code quality, design patterns, review processes, and documentation, significantly improving maintainability and onboarding efficiency.
Senior Software Engineer
Bengaluru, Karnataka, India
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Summary
Developed and optimized AI/ML-driven solutions, enhancing content accessibility, sales coaching, and operational efficiency while reducing infrastructure costs.
Highlights
Developed and launched a multilingual subtitle capability supporting 10 languages, significantly increasing content reach, ensuring accessibility compliance, and boosting international user engagement.
Spearheaded the launch of 'Sale Rocket,' an AI-driven tool that transformed raw sales conversations into measurable KPIs and actionable insights, enabling teams to improve coaching, accelerate gap closure, and standardize execution.
Achieved significant cost optimization by operationalizing transcription and Large Language Model (LLM) pipelines, fine-tuning models for target accuracy, and controlling inference spend within business-aligned quality thresholds.
Software Engineer
Bengaluru, Karnataka, India
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Summary
Led the development of a next-gen construction management platform and critical client solutions, enhancing operational efficiency, real-time insights, and incident response.
Highlights
Developed custom area/volume measurement tools and 3D annotation workflows for the Observance construction management platform, streamlining estimating, progress validation, and issue tracking.
Engineered an FR-based attendance reporting module for Observance, providing project managers with near real-time workforce insights and optimizing resource allocation.
Architected and built an end-to-end accident reporting and ambulance dispatch platform for a leading hospital, including cross-platform mobile apps and a web admin console, improving incident intake and response coordination.
Implemented a robust REST API with a custom AWS backend for real-time ambulance/case tracking and live-stream feeds, ensuring reliable data exchange and system performance.
Led performance optimization for an FR-based attendance monitoring system, drastically reducing initial page load from ~90s to <300ms and report generation from ~10 minutes to <1 minute for 1M+ logs through caching, sharding, and Node.js backend optimizations.
Improved responsiveness and user experience of the Flutter employee enrollment app through targeted performance tuning and workflow refinements.
Software Engineer Intern
Bengaluru, Karnataka, India
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Summary
Developed core monitoring modules for a healthcare platform, enabling real-time patient vital tracking and anomaly detection, and optimizing high-concurrency data streams.
Highlights
Developed core monitoring modules for a healthcare platform, significantly improving clinicians' ability to track patient vitals and identify critical health trends.
Implemented real-time ECG streaming utilizing WebSockets, ensuring minimal latency, high reliability, and seamless UI updates for critical patient data.
Managed high-concurrency subscriptions for multiple patients and vital signals (ECG, SpO2, respiratory rate), optimizing event handling and client-side rendering to significantly reduce lag and enhance user experience.
Built automated insight reports from patient metrics, surfacing anomalies and trends to healthcare staff, which reduced manual analysis efforts and improved proactive care.
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Bachelor of Technology
Computer Science
Published by
ICRITCSA
Summary
Published research on leveraging Augmented Reality and Machine Learning for adaptive visual learning, presented at ICRITCSA.
Summary
Developed a deep learning model for efficient image-based plant disease detection on edge devices, enhancing agricultural technology.
Docker, Kubernetes, AWS, Google Cloud, GitHub Actions, GitLab Actions.
Python, Typescript, Javascript, Go.
React.js, NextJs, Node.js, NestJs, Flutter, FastAPI, Three.js, BPY (Blender Python), PostgreSQL, MongoDB, Frappe, Git.