About Me
Software developer based in Bengaluru with expertise in artificial intelligence, machine learning, and full-stack development. Self-taught through continuous learning and hands-on experimentation, with a focus on building practical AI-driven solutions.
Notable Achievement
AI Residency Program Selection
Selected among approximately 600 applicants globally for a competitive residency program, working on OS-level AI agent systems—an advanced approach to intelligent computing interfaces.
What I'm Working On:
- Working on cutting-edge OS-level AI agent systems
- Research focus on tool-use and multi-step reasoning
- Collaboration with leading AI researchers and engineers
- Building autonomous agents that interact with computer interfaces
Professional Experience
Software Development Intern
BengaluruSignalz
- Contributed to full stack development, enhancing both frontend and backend functionalities
- Improved UI rendering for a smoother and more responsive user experience
- Developed and shipped reusable internal components as APIs and npm packages
- Enhanced authentication mechanisms, increasing security and user trust
- Streamlined user interactions to make the platform more intuitive
Additional Details:
Worked with React, Node.js, and PostgreSQL in an agile environment. Led the development of a component library that reduced development time by 30%.
Network Engineering Intern
BengaluruRadisys
- Gained in-depth knowledge of 4G and 5G network architectures and operational frameworks
- Worked hands-on with network protocols including TCP and UDP
- Explored and implemented core concepts in network protocol design and deployment
Additional Details:
Contributed to testing 5G NR protocol stack implementations. Gained experience with ORAN architecture and network slicing concepts.
Education
B.Tech in Computer Science & Engineering
2022 - PresentPES University, Bangalore
CGPA: 8.52
Specialization in AI/ML. Coursework includes Deep Learning, NLP, Distributed Systems, and Database Management.
Higher Secondary (PCMC)
2020 - 2022Kumarans, Bangalore
88% (92% PCM)
Physics, Chemistry, Mathematics, and Computer Science. Participated in science olympiads and coding competitions.
ICSE
2008 - 2020Baldwin, Bangalore
94%
Strong foundation in mathematics and sciences. Active in robotics club and debate competitions.
Publication
Automated BCS Classification using Machine Learning
An Explainable AI Approach for BCS Classification System
Developed an ML model to automate Biopharmaceutics Classification System (BCS) classification for pharmaceuticals, predicting drug class using log P, log S values, and SMILES data to provide accurate solubility and permeability predictions for medical research.
Technical Approach:
- • Feature engineering from molecular descriptors and SMILES representations
- • Ensemble methods combining Random Forest and Gradient Boosting
- • SHAP values for model interpretability in pharmaceutical context
Technical Skills
AI & Machine Learning
Building production ML systems including RAG pipelines, fine-tuned LLMs, and autonomous AI agents with tool-use capabilities.
Python Ecosystem
Extensive experience in Python for web APIs, data processing, and AI application development with modern tooling.
Web Development
Full-stack development with modern frameworks, responsive design, and component-based architecture.
Cloud & Infrastructure
Container orchestration, cloud deployments, and infrastructure-as-code for scalable applications.
Databases
Experience with relational, NoSQL, and vector databases for diverse application requirements.
Programming Languages
Strong foundation in multiple paradigms including OOP, functional, and systems programming.
Activities & Leadership
Member
Debate Society (Debsoc)
Participated in inter-college debates and public speaking events.
Teaching Assistant
Machine Learning Course
Helped 100+ students with ML concepts, assignments, and projects.
Teaching Assistant
Database Management Systems
Conducted lab sessions and helped with query optimization techniques.