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Yeshita Motwani · @yeshitamotwani

Projects

From linkedin.com/in/yeshita-motwani

I have built a diverse portfolio of AI research, full‑stack web, and hardware projects between 2024 and 2026, showcasing end‑to‑end pipelines, GPU‑portable inference, and user‑focused applications.

Agent Distillation Compiler – Distilled a 4‑agent LLM coding pipeline into a single fine‑tuned model — 87–88% pass@1 retention at ~4x fewer model calls. Built the full training pipeline: QLoRA fine‑tuning + DPO alignment, improving preference accuracy 2.6x. Designed a hybrid router (70.4% accuracy) to dynamically balance cost vs. accuracy across requests. Benchmarked inference across CUDA and Vulkan backends, validating cross‑vendor GPU portability. Diagnosed and fixed subtle bugs silently corrupting evaluation results, including a platform‑specific memory bug.

StutterFix — Stuttering Detection & Remediation (IEEE Paper) – End‑to‑end pipeline detecting and correcting speech disfluencies from real podcast audio (SEP‑28k, ~21K clips) – Fine‑tuned wav2vec2 for multi‑label disfluency classification; ran a controlled BiLSTM vs. mean‑pooling ablation – Built T5 + rule‑based remediation stage to rewrite disfluent transcripts – Full ASR → detection → remediation pipeline at ~0.24s latency per clip – Managed experiments, sweeps, and evaluation (F1, WER, BLEU, ROUGE‑L); co‑authoring as IEEE conference paper.

Image Generation Using ComfyUI and Stable Diffusion – This project uses ComfyUI, a node‑based interface for Stable Diffusion, to generate AI‑powered images from text prompts. Features include text‑to‑image generation, customizable prompts, negative‑prompt support, efficient sampling, and seamless image saving & exporting.

Trade‑Xpert – Feature‑rich stock trading platform with a React.js dashboard, Node.js/Express.js backend, RESTful APIs, and MongoDB Atlas. Implemented dynamic stock data visualisation and optimised frontend performance, reducing load times for faster access to stock information.

Human Pose Estimation – Detects human poses in images and videos using TensorFlow and provides a Streamlit web UI for real‑time webcam feed, image/video processing, and pose visualisation.

Wanderlust – Travel booking system with secure Passport.js authentication, role‑based access, CRUD listings, and cloud storage integration. Built with HTML5, CSS3, Bootstrap, Node.js, Express.js, and MongoDB Atlas, improving page load times and user experience.

Automatic Fire Suppression System – ESP32‑based hardware system using MQ‑2, DHT22, and IR flame sensors to detect fire, trigger a buzzer, rotate a servo‑driven water sprinkler, and display readings on an I2C LCD. Integrated with Blynk App for remote monitoring.

Event Ticket Booking Management System – Web platform for exploring, booking, and managing event tickets. Implements a greedy algorithm for optimal seat allocation and real‑time ticket tracking via a dynamic dashboard.

Quiz Game App – Interactive quiz game built with HTML, CSS, and JavaScript featuring username input, timed questions, navigation, leaderboard, and replay/quit options.