Electronics engineer & AI researcher
I’m an electronics engineer working at the intersection of electronics and artificial intelligence. My interests include machine learning, language models, and computer vision, particularly their applications in education and healthcare.
I completed my B.Tech. in Electronics Engineering in 2026. I’m currently open to master’s programmes and research opportunities in electronics, artificial intelligence, and related areas.
arXiv preprint · arXiv:2607.26117 · 2026
A controlled study of self-repair, execution feedback, and blind retry across 1.5B, 3B, and 7B code models, with preregistered hypotheses and replication across model families.
Research manuscript · arXiv submission version, 2 Oct. 2026 · 2026
A reproducibility audit and three-seed comparison of ordinary and inverse-frequency sampling with Qwen2-VL-2B and QLoRA. Balanced accuracy improves modestly while overall accuracy falls on IDRiD and RetinaMNIST+; peak reserved GPU memory is 3.684 GiB.
Research manuscript · 2026
An exact worst-reference binary Dice degradation bound computed from three observable mask counts, with certified partial outputs. Evaluated on ClinicDB, Massachusetts Buildings, and Kvasir-SEG; the bound limits loss relative to a baseline, not absolute segmentation quality.
Saved-model demonstration; predictions are not fact checks.
arXiv preprint · arXiv:2609.25006 · 2026
An audit of leakage and shortcut learning using DistilBERT, TF–IDF controls, and cross-corpus transfer to examine the gap between in-corpus scores and generalization.
Illustrative grading workflow, not a recorded scoring result.
Submitted to IEEE UPCON 2026 · Paper ID 1525 · 2026
A framework combining OCR, SBERT, CLIP, Pix2Tex, SymPy, and Gemini to evaluate text, diagrams, and mathematics. Reported Pearson correlation with human scores: r = 0.77.
Actual retinal images; scanning guides are illustrative.
Submitted to arXiv · Decision pending · 2026
Parameter-efficient adaptation of a 2B vision-language model using QLoRA under a 6 GB VRAM constraint, with resolution ablations, per-class error analysis, and explanation evaluation.
Bachelor of Technology in Electronics Engineering
Rajkiya Engineering College, Kannauj
BS in Data Science and Applications — Foundation Level
High School & Intermediate
Reviewer for IEEE Transactions on Information Forensics and Security (2026). One completed review is recorded on my ORCID profile via Web of Science Researcher Profiles.
Research Intern
Developed and deployed AI/ML pipelines on open-source projects addressing challenges in India’s education ecosystem, under Dr. Sudarshan Iyengar.
Management Trainee
Contributed to data-driven analysis and applied machine learning initiatives across product and operations teams.
Training & Placement Coordinator
Coordinated training programmes and campus recruitment, supporting student–industry engagement and placement activities for more than 1,000 students.
Google Student Ambassador · Technical Outreach
Led AI workshops, product demonstrations, and student engagement activities.
Machine Learning & Full Stack Intern
Developed a BERT-based multi-label model for mental-health-related text and contributed to website optimization and technical SEO.
Machine Learning Intern
Built a data and web insights tool combining dataset processing, web search, and language models for information extraction and analysis.
Machine Learning Intern
Performed exploratory data analysis and developed classification and regression models.
I’m open to master’s programmes, research opportunities and conversations about electronics and artificial intelligence.