🎓 Computer Science Engineering Student at PES University (2022–2026)
💡 Passionate about Machine Learning, Computer Vision, and Generative AI
🌍 Based in Bangalore, India
📫 Reach me at: @gmail.com
🔗 LinkedIn | GitHub

I’m an aspiring AI engineer with hands-on experience in machine learning, real-time systems, and embedded AI.
My work spans across sensor fusion, multimodal learning, big data systems, and cybersecurity testing.

Kalman Filter, Reinforcement Learning, Embedded Systems

Designed a power-efficient inertial navigation system using Kalman filtering for real-time sensor fusion.
Integrated RL agents for dynamic drift correction, improving long-term motion tracking accuracy.

PyTorch, BERT, Librosa, Scikit-learn

Built an emotion classification pipeline using audio, visual, and textual cues with CNNs, BERT, and Librosa.
Achieved superior performance with late fusion of MFCCs, facial features, and contextual embeddings.

Apache Kafka, Spark Streaming

Developed a real-time emoji reaction system with Kafka Producers/Consumers and WebSockets for live data streaming.
Enabled fault-tolerant, low-latency emoji trend visualization with Spark Streaming analytics.

Docker, gVisor, Streamlit

Created a serverless platform for on-demand Python/JS execution, mimicking AWS Lambda behavior.
Integrated gVisor sandboxing and Docker containers for secure runtime isolation.

🧬 Sudha Gopalakrishnan Brain Centre, IIT Madras
Computer Vision Intern (Jul 2025 – Sep 2025)

• Researched fetal brain MRI segmentation for early neurodevelopmental diagnostics.
• Applied deep learning for cortical fold detection and structural analysis.

✈️ Udaan Cell, Indian Air Force (Ministry of Defence)
AI/ML Intern (Jun 2025 – Jul 2025)

• Built multilingual sentiment classifiers using Patch Vision Transformer (ViT) models.
• Ensured high privacy compliance during transformer model fine-tuning.

🛡️ STQC Directorate, Govt. of India
Security Testing Intern (May 2024 – Jul 2024)

• Conducted firmware vulnerability analysis and CCTV system audits.
• Tested and validated secure boot, OTA update integrity, and anti-rollback mechanisms.

Languages: Python, SQL, C
Frameworks & Libraries: PyTorch, TensorFlow, Keras, HuggingFace, OpenCV, Librosa, NLTK, Scikit-learn
Data & Big Data Tools: Apache Spark, Kafka, Pandas, NumPy, Spark Streaming
Cloud & DevOps: Google Cloud Platform, Docker, gVisor, Streamlit, Git/GitHub
Simulation & Robotics: MuJoCo, Kalman Filter, Reinforcement Learning, Sensor Fusion

“I love blending AI with embedded systems — making intelligence run not just in the cloud, but on the edge.”

⭐️ Inspired by curiosity, driven by data, and always learning something new.