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The Tale of William

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I'm William Davis, a detail-oriented Machine Learning Engineer with expertise in deep learning and natural language processing. I thrive on collaborating with cross-functional teams to develop scalable AI solutions that drive innovation and enhance performance.

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Talents & Crafts

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Machine LearningDeep LearningNatural Language Processing (NLP)Computer VisionLLM Fine TuningRAGTensorFlowPyTorchscikit-learnHugging FacePandasNumPyLangchainFlaskFastAPIAmazon Web Services (AWS)DockerMLflowDVCStreamlitCI/CDPostgreSQLSQLETL PipelinesLinuxVector Databases (Chroma)PythonCJavaScriptHTMLCSSData Structures and Algorithms

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Deeds & Service

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Machine Learning Engineer — Alignerr

Jan 2026 – Present

Remote

• Enhanced LLM evaluation precision by 15% through a comprehensive review of a rubric-based scoring framework across six reasoning categories.
• Analyzed over 50 audio files for integration into ASR pipelines.
• Evaluated AI agent responses, identifying failure points such as inference memory and self-coherence, resulting in a 20% improvement in model accuracy.

Deep Learning Research Assistant — Jadavpur University CMATER Lab

May 2025 – September 2025

Kolkata, India

• Designed and implemented a self-attention mechanism (scaled dot-product) within a pre-trained VGG16, significantly enhancing feature extraction for lung cancer detection from CT scans.
• Developed a hybrid deep learning architecture achieving 99.54% peak accuracy with only 76k trainable parameters and 0.0256 GFLOPs, facilitating edge-device deployment.
• Engineered feature fusion through concatenation and element-wise multiplication of original and attention-modulated maps for refined, context-aware representations.

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Chronicle of Works

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TailorCV.ai

Python, FastAPI, LLM, AI agents, Amazon Web Services

• Developed an AI web application that optimizes resumes to job descriptions using LLMs and NLP pipelines, improving resume relevance by up to 80%.
• Designed a Python and FastAPI backend with HTML, CSS, and JavaScript for the frontend, dockerized the application, and deployed it on AWS ECS.
• Achieved over 50 users within the first week of launch, demonstrating strong early adoption and real-world impact.

View work The source

YouTube Sentiment Analysis

TensorFlow, NLP, AWS EC2, Scikit-learn

• Created an end-to-end YouTube sentiment analysis pipeline processing over 10,000 user comments, enhancing sentiment classification performance through NLP preprocessing techniques.
• Tracked multiple model experiments using MLflow and DVC, enabling reproducible training and systematic comparison of models built with scikit-learn and NLP libraries.
• Deployed the pipeline on AWS using Docker and exposed predictions via Flask REST APIs, facilitating scalable and reproducible inference.

View work The source

Smart Product Pricing

Keras, Hugging Face Transformers, ResNet50, OpenCV

• Developed an NLP and CV pipeline to analyze 150,000 image and text data using transformer-based text encoders and CNN-based image embeddings, integrating them through a fusion neural network for price prediction.
• Implemented data preprocessing techniques, including text cleaning, tokenization, and streaming image feature extraction with ResNet and CLIP representations to manage large datasets.
• Built and fine-tuned models using TensorFlow and scikit-learn, achieving a rank of 142 out of 50,000 participants.

The source

RAG System

• Made a production-ready RAG pipeline integrating semantic vector retrieval with LLM generation to produce context-grounded responses.
• Engineered multiple chunking strategies and a scalable ingestion , retrieval , generation flow for efficient semantic search and generation.
• Implemented history-aware and multimodal augmentations, and evaluated retrieval outputs to measure relevance and quality.

The source

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Learning & Study

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Jadavpur University, Kolkata

Nov 2023 – Dec 2027

Bachelor of Technology · CGPA: 7.5

Hariyana Vidya Mandir, Kolkata

Apr 2020 – Apr 2022

Higher Secondary · Percentage: 90%

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Quests & Leadership

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Core Member — Entrepreneurship Cell, Jadavpur University

May 2024 – Present

• Organized national-level events such as E-Summit 2025 and Hult Prize 2025, attracting over 5,000 registrations and 1,000+ attendees.
• Contributed to the establishment of an Incubation Center at Jadavpur University under the Institution’s Innovation Council (IIC).

Coordinator — Jadavpur University Finance Club

• Led planning and execution of Finspire 2025, a national-level finance event with 1,000+ registrations and 500+ on-ground
• attendees, strengthening the club’s national presence.
• Delivered high-impact trading and investment courses to 100+ students, improving engagement in financial markets

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Send Word

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Should you wish to correspond, my door is ever open.

✉ shubhamsarkarthe1@gmail.com +91 824004465290

Yours faithfully,

William Davis

WD