Amrutha Muralidhar

AI & Software Engineer | Building Intelligent Solutions

Not gon add my email here iykyk :) | No number, just contact me on linkdein | Bangalore, India

About Me

I'm a Computer Science Engineer with a strong focus on Artificial Intelligence, Machine Learning, and Cybersecurity. My work centers on developing robust software solutions and pushing the boundaries of what's possible with intelligent systems. I'm driven by impactful research and building tools that tackle complex challenges head-on.

Experience

Gen AI and Data Engineering

Rubrik [Data Security and AI], Bengaluru

Sept 2025 - Present

  • Currently leading the development of an internal audit framework using S3-compatible APIs and custom consistency validation jobs across geo-distributed archival sites.
  • Developing predictive models using metadata signals to recommend optimal SLAs and improve backup schedules, ensuring faster RTOs and reducing API throttling during large-scale backups.

Research and Development Intern

Hewlett Packard Enterprise [Advanced Development Unit], Bengaluru

Feb 2025 - Aug 2025

  • Engineered a robust RAG layer over Homefleet's storage system using FAISS and transformer-based embeddings, enabling semantic search across 100K+ files with sub-400ms response times.
  • Developed an optimized ML pipeline for chunking, embedding, and indexing unstructured storage data using sentence-transformers, significantly improving retrieval relevance and reducing manual query resolution time by 60%.

Software Engineering Intern

Siemens (Digital Transformation Solutions Unit), Bengaluru

Jan 2024 - Nov 2024

  • Developed a logistics management system that handled over 1,000 daily shipments. I designed and implemented 23 RESTful APIs, which were crucial in optimizing vehicle routing and delivery scheduling.
  • Implemented an auto-scaling architecture on Docker and Kubernetes that maintained 99.99% uptime during load testing, improving system resilience during peak logistics operations.

Research Intern

Prof. Arpita Patra, Indian Institute of Science, Bengaluru

Jul 2024 - Jan 2025

  • Contributed to a secure multi-hospital image segmentation protocol within the Asterisk framework of dishonest majority, incorporating a semi-honest, non-colluding helper party for efficient privacy-preserving predictions.
  • Demonstrated 228-288x improvement in preprocessing speed and enabled scalable evaluations of circuits with $10^{6}$ gates, ensuring robust security and practical applicability in multi-hospital data settings.

Cyber Security Intern

CySecK Centre of Excellence in Cybersecurity, Bengaluru

Sep 2023 - Feb 2024

  • Developed SafeNet, an innovative multilingual threat intelligence platform, utilizing spaCy, custom NER, and regex-based pattern matching for real-time detection of phishing, impersonation, and social engineering tactics in communication data.
  • Constructed a comprehensive threat entity graph using NetworkX to map intricate relationships between malicious actors, URLs, and keywords extracted from flagged messages, significantly enhancing investigative traceability and reducing incident triage time by 30%.

Research Intern

BeST, Office of the Principal Scientific Adviser to the Govt. of India

Jun 2023 - Jul 2023

  • Developed a predictive disaster response model using incomplete, sparse data inputs, achieving 80%+ recall for resource allocation under real-world field constraints.
  • Implemented a scalable resource allocation pipeline with Python and statistical modeling, improving logistical decision-making accuracy by 15% compared to baseline heuristics.

Key Projects

AI-Powered Code Refactoring & Optimization Assistant

Python, Transformers (Fine-tuning), AST Parsing, VS Code Extension API

Mar 2025 - Present

  • Developed an intelligent assistant leveraging fine-tuned Large Language Models to suggest and apply optimal refactoring patterns across multiple programming languages.
  • Implemented static code analysis and Abstract Syntax Tree (AST) parsing to identify performance bottlenecks and potential bugs, significantly enhancing code quality and developer efficiency.
  • Designed a seamless integration as a VS Code extension, providing real-time code suggestions and automated refactoring capabilities.

MLOps Pipeline for Scalable Model Deployment & Monitoring

Python, Docker, Kubernetes, FastAPI, Prometheus, Grafana, CI/CD (Jenkins/GitLab CI)

Aug 2024 - Nov 2024

  • Engineered a robust MLOps pipeline for automated deployment, scaling, and monitoring of machine learning models in production environments.
  • Utilized Docker and Kubernetes for containerization and orchestration, ensuring high availability and efficient resource utilization.
  • Integrated FastAPI for high-performance model serving, with Prometheus and Grafana for real-time performance metrics and anomaly detection, crucial for maintaining model integrity.

Real-time Cyber Threat Anomaly Detection for Enterprise Networks

Python, Apache Kafka, TensorFlow/PyTorch, Unsupervised Learning, NetworkX

Apr 2024 - Jul 2024

  • Designed and implemented a real-time anomaly detection system to identify sophisticated cyber threats within enterprise network traffic.
  • Leveraged Apache Kafka for high-throughput data streaming and applied unsupervised machine learning models (e.g., Autoencoders, Isolation Forest) to detect unusual patterns indicative of intrusions.
  • Visualized threat propagation paths using NetworkX, providing security analysts with actionable insights for rapid incident response.

TESSA: Tailored Expert System for Synthesis and Translation of Code

Python, TensorFlow

Jul 2024

  • Built a cross-language code translation system using the T5 architecture with self-attention and transfer learning from GPT-3 and BERT, with multi-head attention and positional encoding for improved semantic accuracy and syntax generation.
  • Integrated IDEs via WebSocket APIs and language server protocols for dynamic feedback.

AdVantage: GenAI Suite for Enterprise Ad Fraud Prevention

Python, FAISS, Spark

May 2024

  • Developed a high-performance GenAI suite using LLAMA 3 and FAISS for real-time vector similarity search, achieving 98% fraud detection accuracy with dense embeddings and approximate nearest neighbor search.
  • Optimized data processing with Apache Spark, enabling rapid analysis of millions of ad interactions per second with low-latency responses and high throughput for fraud detection.

FIXR: AR Training and Gen AI for Predictive Maintenance

Python, Three.js, AR/VR

Jan 2024

  • Developed an immersive AR training app using Three.js and WebGL, with 3D rendering and context-sensitive simulations for warehouse machinery.
  • Built a real-time multilingual virtual assistant to provide language-specific support in 20+ languages to enhance training efficiency across diverse workforces.

Research & Publications

  • Muralidhar, A, Lakkanna, Y. (2025). Cardon Aware Vehicle Routing Protocol, Patent, India [In Review]
  • Muralidhar, A, Aithal, A, Hebbar, S and Sooda, K. (2025). Error Patterns and Performance Gaps in Neural Models for Code Translation, Multimedia Tools and Applications, Springer [Under Review]
  • Muralidhar, A, Aithal, A, Hebbar, S and Sooda, K. (2025). Neural Network Models for Cross-Language Code Translation, International Conference on Contemporary Computing and Communications, IEEE
  • Muralidhar, A. (2024). Bert-Based Detection of Cyberbullying in Online Texts, Scientific and Practical Cyber Security Journal (SPCSJ), 8(2)
  • Muralidhar, A. and Lakkanna, M. (2024). Analyzing Socio-Economic Indicators to Determine Science Engagement Trends in India, Journal of Research in Didactical Sciences, 2024, Volume 3, Issue 1
  • Muralidhar, A, Bindroo, R, Panimohzi, K. (2024). Analysis of Real-Time Cognitive Fatigue Detection Systems for Driver Safety, ICETCS IEEE
  • Muralidhar, A. and Lakkanna, Y. (2024). Machine Learning Models for Sentiment Analysis, 10th International Conference on Advanced Computing and Communication Systems (ICACCS) IEEE
  • Muralidhar, A. and Lakkanna, Y. (2023). From Clicks to Conversions: Analysis of Traffic Sources in E-Commerce, 12th International Conference on Contemporary Issues in Management. Best Paper
  • Muralidhar, A. and Lakkanna, M. (2023). Regulating Cryptocurrency and Decentralised Finance for an Inclusive Economy, International Conference on Flourishing Through Societal Change. Best Paper

Talks & Presentations

  • AI for Sustainable Agriculture, World Forum for Women in Science, 2024

Technical Skills

Programming Languages & Databases:

Python (Advanced), Java, C/C++, Rust, Julia, SQL, NoSQL (Cassandra, MongoDB, Redis), MERN Stack, Verilog, Matlab, Shell Scripting

AI/ML Frameworks & Libraries:

TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers, FAISS, OpenCV, NLTK, spaCy, GenAI APIs, Reinforcement Learning, Explainable AI (XAI)

Web Development & Backend:

React, Angular, Node.js, Express.js, Flask, Django, Spring Boot, FastAPI, RESTful APIs, GraphQL

Cloud & DevOps:

Kubernetes, Docker, AWS (EC2, S3, Lambda, SageMaker), GCP (Compute Engine, BigQuery, Vertex AI), Apache Kafka, Git, Jenkins, GitLab CI, Terraform

Data Engineering & Analytics:

Apache Spark, Apache Flink, Airflow, ETL Pipelines, Data Warehousing, Data Visualization (D3.js, Matplotlib, Seaborn), Statistical Analysis

Cybersecurity & Privacy:

Threat Intelligence Platforms, NetworkX, Cryptography, Secure Multi-Party Computation (MPC), Differential Privacy, Vulnerability Assessment

Select Accomplishments

  • Top 3 out of 5600+ AI Hackathon, Ministry of Information & Broadcasting, Govt. of India - May 2025
  • IASC-INSA-NASI Fellow | Prestigious national fellowship awarded to 100 engineering students in India - Jun 2024
  • Grace Hopper Scholar | Awarded the advancing inclusion scholarship to attend GHC 24 - Mar 2024
  • Outstanding Project Award | Department of CSE, BMSCE - Mar 2024
  • Global Quantum and AI Scholar | Scholarship recipient among 4000+ students from 100+ countries - Mar 2024
  • First Place Stock Prediction Model Building, Phaseshift Annual International Tech Fest - Dec 2023
  • 7 Merit Scholarships | Awarded for Outstanding High School Performance - July 2021

Leadership Positions

  • President, Computer Science Department Club (CodeIO) - Jan 2024 - Dec 2024
  • President - Technical Team, Artificial Intelligence Club (Augment.ai) - Jul 2023 - Jun 2024
  • Tech Lead, Google Student Developer Club BMSCE Chapter (GDSC) - Mar 2023 - Jun 2024
  • Executive Committee Member, Mathematical Society (Pentagram) - Dec 2022 - Aug 2024
  • Coordinator, Literary and Debate Society (Inksanity) - Dec 2022 - Jun 2023

Moments & Memories

Amrutha Muralidhar - Photo 1 Amrutha Muralidhar - Photo 2 Amrutha Muralidhar - Photo 3 Amrutha Muralidhar - Photo 4 Amrutha Muralidhar - Photo 5 Amrutha Muralidhar - Photo 6

Just me, chilling and exploring new places. These pics capture some cool spots I've visited!

Irl Stuff

I'm a huge movie and TV show buff. Seriously, I could binge-watch for days. Books? Yeah, I read 'em sometimes

I've also done a fair bit of exploring across Maharashtra, Andhra Pradesh, Kerala, Tamil Nadu, Karnataka (obvs), Delhi, Goa, Gujrat, Rajastan, Uttar Pradesh, and Pondicherry. Each trip adds a new perspective, you learn something new every time!

2026

Silk (UK show)

Sort of nice. Not as good as Law and Order though. I feel like nothing is as good as Law and Order; even Boston Legal feels too “TV” and not like a proper legal drama.

People We Met on Vacation ★

Liked it! Good holiday watch. Good-looking actors.

2025

Superman 2025

Good movies liked it, watched it in 4d. Good but thor is better

M3GAN 2.0

Liked it.

M3GAN

Came here from m3gan 2.0, also good.

Bride Hard

Nice wedding comedy and good feel good movie. But nothing memorable much. Kinda feels like rebel wilson plays the same role in every single movie of hers

Conclave

Very slow and not a good ending. But also good watch, wouldn't watch again tho.

Grotesquerie

Nice twists and good watch. Might watch again sometime later

Accountant

Liked it. Good watch with friends, would watch again

Accountant 2

Would watch again. Good for movie night with freinds/fam

The Magic of Ordinary Days

A gentle story about unexpected love. Liked it, old movie, sort of like classics. Would watch with kith n kin

The Bad Guys

Fun watch. Def rec for kids

The Bad Guys 2

Fun watch. Nice time pass

Novocane

Okay.

The Naked Gun

Comedy. Okay

My Oxford Year

Cringe, High school, rom movie. Liked it. Would watch again sometime later

Trouble Man!

Old-school cool meets modern action.

The Wrong Paris

Cringe teen girl movie. Liked it. Would watch again!

Nobody

Violence with surprising heart.

Nobody 2

Bigger fights, deeper past.

Return to Sender

Tension builds with every reveal.

Kpop Demon Slayer

New frozen! Liked it. Good one. Def rec for kids

Gen V

Season 1 was good, but later seasons are becoming boring and not vibeing with the story much. Same ol saga stuff feels like a drag

The Boys

Loved it! All seasons are pretty good.

Murder Bot

Loved it! want season 2! did feel slow and a drag at times, but overall I really liked it!

Zootopia

Fun watch

Zootopia 2

Fun watch.

Heated Rivalry

Binged it. Liked it! Same as Red, White & Royal Blue. But not as good coz didn't have much of a "story" factor. Quite straight forward and predictable flow of events. I really liked it coz it wasn't cringe, and was very normal, no super excited barbie man/girl speaking in a very disturbingly flowery tone. Quite normal and chill vibe

Tron: Ares

It was okay. Not as good as terminator series but alright. Not going to watch again

The Housemaid (2025)

Felt very high school girl vibe. Liked it tho! I expected it to be a copy of the korean movie housemaid, but this was surprisingly good at the end.

The Judge ★

Loved it!! One of the classics I would say. Liked the story and the movie too. Would definitely watch it again, like a holidays movie. I haven't watch similar family movie before so maybe that's why I really liked it

The Great

Good satire about the ruski king. Nice lunch time show, But not binge worthy, I watch it while eating

The Split (UK show)

Liked it! Not much of a legal show, more of a family drama thing. Nice daily soap type one. I did binge watch this lol. Liked it. And I would go watch some random episodes again when bored!

Kantara

Liked it! Good and I liked these movies better than the bahubali ones