AI/ML Engineer & Data Scientist
Transforming Raw Data Into Intelligent Systems Through Deep Learning, NLP & Production ML Engineering
I'm a final-year B.Tech student in Computer Science (AI & Data Science) at IIIT Senapati, Manipur. I was awarded a branch upgrade from ECE (VLSI) to CSE (AI-DS) — placing in the Top 5 students — a recognition that reflects my drive and dedication to the field of AI.
Currently, I'm serving as a Research Intern at IIT Roorkee, conducting research on multimodal emotion and personality recognition using physiological signals (EEG, ECG, GSR) from the ASCERTAIN dataset — designing novel hybrid deep learning architectures that surpass published baselines.
I'm passionate about building intelligent systems end-to-end: from data pipelines and model training to deployment and explainability. My expertise spans deep learning, NLP, computer vision, and production ML engineering with a portfolio of 15+ projects including GenAI, RAG, and Agentic AI applications.
From competitive research internships to real-world ML engineering, here's what makes my profile stand out.
Active Research Intern at IIT Roorkee — building novel multimodal hybrid architectures that beat published baselines in emotion & personality recognition.
Built end-to-end fraud detection pipelines with >90% Precision & Recall, and edge-optimized AI inference engines within strict hardware constraints.
End-to-end builder: from data pipelines, model training & explainability (SHAP/XAI) to interactive Streamlit dashboards and cloud-native databases.
CGPA 8.20 with institutional recognition — awarded branch upgrade to AI-DS among top 5 students for outstanding performance and AI aptitude.
A comprehensive toolkit spanning machine learning, deep learning, NLP, and production engineering.
Research and industry internships building real-world AI/ML solutions.
Intelligent solutions spanning computer vision, NLP, financial ML, and medical AI.
Architected a sophisticated multimodal pipeline synchronizing Vision Transformer (ViT) feature extraction with Transformer-based language models for seamless Visual Question Answering (VQA). Engineered a custom cross-domain inference engine optimized for edge deployment within a strict 1GB RAM footprint using manual tensor memory management.
End-to-end Information Extraction pipeline using spaCy and NLTK to parse unstructured multi-page PDF resumes with granular skill-gap analytics. Built an interactive Recruiter Analytics Dashboard using Plotly to map candidate distributions and skill densities, backed by a cloud-native TiDB Serverless (MySQL) database.
Hybrid diagnostic framework integrating CatBoost for gradient boosting and ANN to capture non-linear biomarkers in thyroid pathology detection. Integrated Explainable AI via SHAP to identify TSH and T4 levels as primary clinical predictors — ensuring model transparency and interpretability for medical professionals.
Awarded Branch Upgrade from ECE (VLSI) to CSE (AI-DS) — ranked among Top 5 students at IIIT Senapati, Manipur in 2024, recognizing exceptional AI aptitude and academic performance.
Maintaining a CGPA of 8.20 / 10.0 with a specialized focus on Deep Learning, Generative AI, and Agentic AI systems — consistently in the high-performing tier of the cohort.
Developed a portfolio of 15+ ML/DL Projects spanning Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI based applications — demonstrating consistent innovation and execution.
I'm actively looking for Data Scientist and AI/ML Engineer roles. Whether you have an exciting opportunity, a research collaboration, or just want to talk AI — I'd love to hear from you.
Currently based in India — open to remote and on-site positions across the globe.