NEURAL IDENTITY
SYSTEM_PROFILE // BIO
METADATA_FIELDS
AI and Data Scientist
Architecting intelligent agentic workflows and real-time data pipelines to extract high-throughput insights from complex systems.
Systems Engineering
Developing low-level OS components, memory-safe kernels, and bridging hardware with software.
Industrial Integration
Architecting robust connectivity and data exchange systems for large-scale, complex environments.
ACADEMIC_REGISTRY
Geethanjali College of Engineering and Technology
Bachelor of Technology (B.Tech) in Computer Science and Engineering
Resonance Junior College / RGUKT Basar
Intermediate (MPC) / Pre-University Course (PUC)
Pallavi Model School
Central Board of Secondary Education (CBSE)
SKILL MATRIX
Click a domain node to drill into the skill tree.
[ LOG_TYPE: DEPLOYMENT_HISTORY ]
DEPLOYMENT // TIMELINE
A chronological log of active engagements, internship deployments, and organizational roles — each entry a node in the growth matrix.
R&D Engineering Intern, Embedded Systems
@ NUCLEONIX SYSTEMS
Contributed to the development and real-time deployment of the tablet-optimized radiation monitoring mobile application (TAB-Based GM Counting System). Programmed secure client access by retrieving the unique Android Device ID and authenticating it via Supabase-driven Device Based Access Control, integrated Nordic UART Service (NUS) BLE communication with Arduino-based hardware detectors, built backend support with Node.js/REST APIs, and implemented on-device SQLite database structures.
Software Development Engineer Intern
@ AVASAN CHAKRA
As a Software Development Engineer Intern at Avasan Chakra (Startup), I engaged in a two-month remote role starting in April 2026. Reporting directly to the CTO, I was responsible for tackling algorithmic problem-solving and advancing various software development projects. My work actively contributed to the company's mission of driving innovative, sustainable, and eco-friendly solutions tailored for high-rise buildings. This opportunity allowed me to apply my technical skills to meaningful sustainability initiatives within a collaborative environment centered on clarity and precision
PR Head
@ GCET CODING CLUB
Serving as the Public Relations Head of the GCET Coding Club, driving outreach, technical event coordination, and cross-departmental collaborations. Spearheaded multiple initiatives to grow the club's presence, bridge the gap between students and industry professionals, and cultivate a culture of engineering curiosity within the campus ecosystem.
Student Member
@ ISTE
Active member of the Indian Society for Technical Education (ISTE), engaging with a national network of engineering professionals and students. Participating in workshops, seminars, and technical symposia that sharpen both domain expertise and professional acumen — reinforcing a lifelong commitment to continuous learning and engineering excellence.
Webmaster
@ IEEE EdSoc
Operated as Webmaster for IEEE Educational Society, owning the full web infrastructure stack. Designed and maintained web portals used by hundreds of members, implemented backend data pipelines in Python & SQL, and ensured platform uptime and security. Collaborated closely with the chapter leadership to digitize event management workflows and enhance the user experience for a diverse technical audience.
Student Ambassador
Selected as a Google Student Ambassador — a competitive program that identifies high-potential engineering students to represent Google's developer ecosystem on campus. Organized workshops, cloud bootcamps, and hackathons that introduced students to Google's product suite and AI tooling. Acted as a conduit between the campus community and Google's developer relations team, mentoring peers on cloud architecture and responsible AI practices.
Student Member
@ IEEE COMPUTER SOCIETY
Member of the IEEE Computer Society, the world's premier organization for computer science professionals. Engaged in deep technical discourse around algorithms, systems architecture, and emerging paradigms in computing. Access to cutting-edge research publications and participation in student conferences directly sharpened analytical rigor and informed the development approach across hardware and OS-level projects.
Cyber Security Intern
@ SUPRAJA TECHNOLOGIES
Completed an intensive cyber security internship at Supraja Technologies, gaining hands-on exposure to offensive and defensive security methodologies. Conducted penetration tests on simulated network environments using Kali Linux, executed OSINT reconnaissance workflows, and documented vulnerability reports. This experience deepened understanding of attack surfaces at both the network and application layer — knowledge that directly informs how software is written securely at a systems level.
AI Intern
@ AGNIRVA.COM SPACE
Interned at Agnirva, a space-tech AI organization, working at the frontier of generative AI and large language model applications. Contributed to research and development pipelines involving LLM fine-tuning, multi-modal prompt engineering, and AI-assisted data processing for aerospace-adjacent datasets. This role cultivated a rigorous understanding of agentic AI architectures and the ethical deployment of intelligent systems in high-stakes domains.
Neural Systems
Portfolio
Deep archival data of experimental synthetic consciousness frameworks and kernel architectures.
Tab-Based GM Counting System
A professional, tablet-optimized radiation monitoring mobile application built for Nucleonix scintillation detectors. It retrieves the unique Android Device ID to authenticate access via Supabase-driven Device Based Access Control, acting as a hardware license gate. Once authorized, the app connects to an Arduino-based hardware detector via BLE using the Nordic UART Service (NUS) for real-time CPS/CPM data acquisition. Features an industrial dashboard with 0–1200V helipot stepping control, Sample/Standard/Background labeling, on-device SQLite storage, Node.js REST API backend integration, and SheetJS spreadsheet exports.
Probabilistic Character Recognition Engine
Developed a probabilistic character recognition engine in R using recursive Bayesian updating to solve sequential classification problems. Engineered a stochastic smoothing function (0.9/0.1 likelihood) and MAP estimation to handle noisy, contradictory inputs in real time, optimizing convergence at a 0.85 confidence threshold with a scalable data ingestion pipeline.
Achievements & Records
INITIATE // CONTACT
Open to connecting on agentic swarms, data science architectures, and neural systems optimization.