Ananya Ankamanal
Bangalore
Summary
Aspiring Software Engineer to be part of an organization that will utilize my engineering knowledge and capabilities, providing an opportunity to enhance my skills sincerely and energetically in the interest of the organization.
Overview
1
1
year of professional experience
Work History
AI Intern
OLA Krutrim
Bangalore
08.2024 - 06.2025
- Integrated custom AI kernels into PyTorch using PyBind11. Developed Python bindings for low-level ARM NEON micro-kernels written in C++ to enable high-performance FP16 matrix multiplication directly in PyTorch workflows.
- Optimized Inference Performance on AArch64 with NEON Intrinsics. Analyzed and deployed SIMD-based FP16 microkernels to accelerate matrix operations, improving efficiency for edge-AI workloads.
- Benchmarked KleidiAI vs Native PyTorch MatMul
Designed benchmarking pipelines to compare custom kernels with PyTorch's native implementations. Evaluated runtime, memory footprint, and precision trade-offs on ARM-based systems. - Debugged build toolchains with CMake and Ninja. Managed cross-platform compilation challenges using CMake and Ninja for integrating custom C++/NEON code with Python.
- Prepared end-to-end technical demos and documentation. Documented the full process from kernel development to Python integration and benchmarking.
Education
Information Science
RNS Institute of Technology
Bangalore05-2024
Skills
Programming: Python, C, Bash
AI/ML Libraries: PyTorch, ONNX
Low-level Optimizations: AI Kernel Integration ,ARM NEON instrincts, FP16 compute, Quantization
Tools & Build Systems: CMake, PyBind11, Ninja
Platforms: Linux (Ubuntu), AArch64
Other skills : Benchmarking, Debugging
Accomplishments
- Core Member of Entrepreneurship Development Cell
- Member of Designing and Content Creation in EDC
Certified Training
Completed Internship training in the Artificial Intelligence - Machine Learning & Data Science using Python & Azure and successfully completed project work "UBER FARE PREDICTION" in New Age Solutions Technologies (NASTECH).
PROJECTS
Project 1: “CYBER BULLYING DECTION USING DEEP LEARNING”
Description: Developed a cyberbullying detection system focusing on deep learning-based text classification. Utilized Natural Language Processing techniques to process user content and identify abusive or harmful language in online platforms.
Skills: Natural Language Processing (NLP), Machine Learning
Project 2: “UBER FARE PREDICTION”
Description: Built a predictive model to estimate Uber ride fares based on trip parameters such as distance, location, and time. Applied statistical analysis and regression techniques to improve accuracy.
Skills: Machine Learning, Statistical Analysis, Python
Project 3: “MUSIC MANAGEMENT SYSTEM”
Description: Designed a system to organize and manage music libraries, enabling users to sort, play, and manage tracks efficiently. Focused on developing intuitive front-end interfaces and feature integration.
Skills: Front-End Development, Project Management
Project 4: “GYM APPLICATION”
Description: Created a mobile application to assist gym members with workout tracking, schedules, and progress visualization. Emphasized a user-friendly interface and seamless navigation
Skills: Mobile Application Development, User Interface Design
SOFT SKILLS
- Problem-Solving Ability
- Analytical Thinking
- Self-Learning & Initiative
- Collaboration & Teamwork
- Presentation Skills
Personal Details
Date of Birth: 08 June 2002
Permanent Address: #2218, 2nd Cross, Raguvanahalli, Bangalore City Municipal Corporation Layout, Vajarahalli, Bengaluru – 560109
Languages Known: English, Kannada, Hindi
WEBSITES/PORTFOLIO
http://www.linkedin.com/in/ananya-ankamanal-603422104
DECLARATION
All the information mentioned above in the resume is correct to the best of my knowledge and belief.
Date: **/**/2024
Place: Bengaluru (ANANYA A)
Timeline
AI Intern
OLA Krutrim
08.2024 - 06.2025
Information Science
RNS Institute of Technology
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