Building at the intersection of Machine Learning, NLP, and Large Language Models — from fine-tuning LLaMA 2 for hate speech detection to automating validation pipelines at Philips Innovation Campus.

• 🎓 M.Tech in Computer Science, MSRIT — CGPA 8.57, First Class with Distinction
• 🎓 B.Tech in Computer Science, MSRUAS — CGPA 8.88/10
• 🧠 Research focus: Multimodal AI, NLP, Large Language Models
• 📄 Published in IEEE Xplore (2024) and an IGI Global book chapter
• 🏆 1st Place, IGT Bangalore Hackathon
• 💼 Former Software Engineering Intern @ Philips Innovation Campus
• 📚 Currently pursuing the AWS AI & ML Scholars program

Multimodal Hate Speech Detection using Fine-Tuned LLaMA 2 IEEE Xplore, 2024

• Built an end-to-end multimodal pipeline processing text, audio, and video
• Fine-tuned LLaMA 2, integrated Whisper and the Google Speech Recognition API for audio transcription
• Benchmarked against BERT, RoBERTa, DistilBERT, ELECTRA, and XLNet
• Achieved 97% accuracy and a 0.96 F1 score

📖 Also published: "Machine Learning for Big Data" — book chapter in Applications of Big Data in Large- and Small-Scale Systems (IGI Global)

Languages

Software Engineering Intern — Philips Innovation Campus · 11 months

• Performed functional, integration, and automation testing across the software lifecycle
• Automated validation workflows with Postman and PowerShell, meaningfully cutting manual validation effort
• Debugged memory consumption, platform stability, and installation defects using memory profiling and log analysis
• Built PoC environments with Hyper-V and Windows PE to validate installation workflows and catch defects early
• Developed an ML-driven predictive maintenance system to reduce downtime and support early fault detection

IGT Bangalore Hackathon — 1st Place Built a remote diagnostic solution using PXE Boot and Windows PE.

• Deep Learning Specialization — DeepLearning.AI
• Advanced Deep Learning Specialist — IBM Digital Credential
• Machine Learning with Python — IBM
• Introduction to Deep Learning & Neural Networks with Keras — IBM
• Deep Learning with Keras and TensorFlow — IBM
• AWS AI & ML Scholars — in progress

Open to opportunities in AI/ML Engineering, NLP, and Applied Research.