Personal Statement & Research Vision
Decoding Neural Signals & Advancing NeuroAI
MSc Data Science researcher with experience in computer vision, language models, and signal decoding, and in turning prototypes into working software. Investigating whether Mamba State-Space Models (SSMs) can replace attention for non-invasive Brain-to-Text decoding from high-density MEG signals. Experienced in both collaborative research teams and production software delivery, with a dedication to uncertainty-aware evaluation and a vision to pursue a PhD in NeuroAI.
Education & Specialized Training
Formal degrees, honors, and competitive summer school training shaping my research foundation in machine learning, computational neuroscience, and hardware.
M.Sc in Data Science
Provisional results received; final award confirmation pending. Comprehensive postgraduate training covering Big Data Analytics, Statistics & Machine Learning, Deep Learning, and Natural Language Processing (NLP).
- MSc Dissertation (COM865 Research Project): State-Space Models for Non-Invasive Brain-to-Text Decoding from MEG: A Controlled Mamba–Transformer Study on Spanish Typing. Supervised by Prof. Girijesh Prasad.
- Benchmarked Mamba-2, Mamba-3, Transformer, and Conformer architectures across 306-channel 1,000 Hz MEG recordings; built continuous decoding pipelines with CTC and SigLIP alignment, achieving 75.3% WER with paired bootstrap evaluation.
Computational Neuroscience Summer School (CN3)
Specialized short-course training in computational and systems neuroscience methodologies, neural modeling, and neural time-series analysis for Brain-Computer Interfaces.
Advanced Certification in Artificial Intelligence & Machine Learning
Rigorous training in foundational mathematics for machine learning, deep neural network optimization, statistical pattern recognition, and computer vision from premier IIT faculty.
B.Tech in Computer Science and Engineering
Graduated with 7.24/10 CGPA. Core engineering curriculum covering algorithms, data structures, operating systems, database systems, and software engineering.
- State Rank & Honors: Secured 3rd Rank (State Level) in the B.Tech Lateral Entry Entrance Examination conducted by the Government of Kerala.
- Scholarship: Awarded the prestigious Egrantz Scholar honor throughout undergraduate studies.
- Final-Year Project: AI-Driven Automated Hiring Pipeline — Built a Django platform parsing unstructured CVs with Mistral 7B, Whisper voice-based situational interview, and automated scoring.
Diploma in Computer Hardware Engineering
Graduated with 8.26/10 CGPA with distinction. Hands-on training in microprocessor architecture, hardware troubleshooting, embedded circuits, and low-level computer engineering.
Research & Software Engineering
Track record across academic research labs and commercial production environments.
Research Assistant
- Trained and fine-tuned computer vision models for endoscopic classification and segmentation across 23 diagnostic classes on the Hyper-Kvasir dataset.
- Benchmarked foundation models: DINOv2 (ViT-L/14) reached 88.5% top-1 accuracy and 57.3% macro-F1, and BEiT-v2 achieved exceptional calibration (ECE ≈ 0.018).
- Evaluated segmentation architectures: EoMT (Dice ≈ 0.917, IoU ≈ 0.866) substantially outperformed UNet++ (Dice ≈ 0.872, IoU ≈ 0.807).
- Integrated Grad-CAM explainability to guarantee models rely on genuine pathology features rather than spurious visual correlations.
- Architected an end-to-end LLM pipeline transforming vision outputs into structured clinical reports with interactive video inspection via Gradio.
Software Engineer
- Delivered production features in a fast-paced environment; contributed to the open-source DAPI Drone Platform (natural language to autonomous drone programming).
- Fine-tuned LLMs to translate complex natural-language directives into structured, executable drone control mission blocks.
- Collaborated cross-functionally with non-technical stakeholders and delivered robust software under deadline pressure.
Software Engineer
- Successfully migrated the company's legacy .NET infrastructure to a modern full-stack web application using React and Django.
- Engineered client data migration from SQLite to PostgreSQL, authoring schema transformation logic and relational data pipelines.
- Designed and deployed mission-critical feature modules for the company's Employee Management Software (EMS) and CRM platforms.
Industry Internships & Qualifications
- Keltron Internship (2020): Industrial training in electronics manufacturing, embedded systems, and government-grade quality workflows at Kerala State Electronics Development Corporation.
- Rivertech Internship: Hands-on exposure to commercial software architectures, testing methodologies, and deployment cycles.
- Software Testing Certificate (2023): Certified in automated & manual testing frameworks, regression pipelines, and test-driven development.
- Course Representative (2025 – 2026): Elected representative at Ulster University Students' Union, liaising student feedback with senior faculty.
Research Focus & Technical Skills
Core scientific interests and the technical stack I use to build scalable machine learning systems.
Research Focus Areas
AI & ML Frameworks
Software & Data Stack
Evaluation & Rigor
Let’s talk research.
I am actively exploring PhD opportunities in NeuroAI, Brain-to-Text, and Foundation Models, as well as academic collaborations.