Bilwasiva B.

About Bilwasiva B.

As a seasoned ML Scientist Tech Lead with over 9 years of experience, I spearheaded the development & end-to-end ML lifecycle of 39+ transformative AI/ML projects across multiple MNCs like Amazon, Cisco, Rakuten, Microsoft, Oracle. My career has been marked by a relentless pursuit of innovation, driving high-performing teams to deliver strategic initiatives which significantly impact business outcomes.I have worked on advanced domains of Artificial Intelligence (Computer Vision, Deep Learning, NLP, NLG, Graph Neural networks, Large Language Models, Recommender system, Agentic AI), along with my Bachelor\'s, Master\'s degrees in Computer Science and an ongoing STEM MBA at OSU Fisher. I am actively seeking new opportunities like Senior/Principal/Lead Applied Scientist, Research Scientist, Data Scientist, Engineering Manager, SDM & senior leadership roles where I can leverage my technical expertise, strategic vision, passion for innovation to drive groundbreaking growth & achieve unparalleled business success.Technical Skills-Programming Languages: Python, C++, R, Java, ScalaMicro-services: Docker, KubernetesBig Data Frameworks: Spark, HadoopMachine Learning: Classification, Regression, Ensemble Models- Random Forest, Boosting (GBM, LightGBM, XGBoost), Reinforcement Learning, Probabilistic Models, Data ScienceDeep Learning: LSTM, CNN, Transfer Learning, OptimizationFunctional ML Skills: Statistics, Probability, Recommendation Systems, Feature Engineering, Hyper-parameter TuningComputer Vision- Object Detection Models: YOLO, SSD, Faster R-CNN, EfficientNetNatural Language Processing: Word2Vec, GloVe, fastText; Transformers- BERT, RoBERTa, BART, XLNet, T5, GPT-3 Large Language Models (LLM): GPT-5, Falcon, Claude, Llama, Alpaca, Vicuna, Mistral, Mixtral8x7B, ChatGPT, Phi, Llama, DeepSeekGen AI Tools: SFT, IFT, PEFT, LORA, QLORA, RAG, RLHF, DPO, Langchain, Vector DB, Mixture of Experts, Prompt EngineeringMy reputation as a proven Principal Applied Scientist is built on executing innovative projects in ML, coupled with exceptional interpersonal, communication, and leadership skills. I am recognized with employee awards for exemplary performance. I\'ve strong track record of mentoring & interviewing talent.Let\'s connect- I am eager to bring my expertise to new projects. fOR Recruiters & hiring managers, I\'m seeking internship & full-time roles in AI/ML domain where I can drive impactful solutions and lead teams & orgs.Career goals:ML EngineerData ScientistResearch ScientistAI ResearcherApplied ScientistML ScientistAI ConsultantML Mentor

Experience

1. Applied Scientist Lead

   Amazon

   Jan 2021 — Present · IN

   Innovated an unsupervised image matching model ”HELIUM-PRISM” to accelerate product mapping in Amazon Kindle, Goodreads & promote de-duplication in eBook catalog for 84 external competitors across 3 continents.• Achieved performance of 98% precision, 99% recall for unmatched decision & 99% precision for matched decision.• Enhanced the model & outperformed baseline (VGG, ResNet, Inception) with 9X speed & 14X better memory.• Led a team of 4 engineers in deploying the model architecture & pipelines to production using AWS SageMaker.• Augmented Kindle purchase by 15% with enriched catalogue & optimised pricing, and generated high impact.• Deployed a novel hierarchical clustering model for a layout agnostic promotion-monitoring project to identify relevant product/promotion banners from a retail webpage with metadata info & obtained 99.6% recall & 98.7% precision.• Evolved product-matching model Sherlock using hybrid of BERT & ELECTRA transformers, few-shot learning on text attributes for 6 GLs (ebook, music, video, podcast, app, games) & reduced onboarding time from 6 months to 3 weeks• Built an online tag-generation model with BART for catalogue search intelligence with 93% precision@10 & 0.85 MRR.• Created recommendation architecture for MiniTV with NeuMF, BERT4Rec & attained 0.87 NDCG & 0.89 mAP.• Mentored 21 people at Amazon from 4 teams including SDEs, Data Scientists, Applied Scientists, BIEs and interns, and conducted 29 interviews.• Excelled in completion of novel & challenging projects in the domain of Machine Learning, Deep Computer Vision, NLP, Graph Neural Networks, Recommender Systems.• Received the Budding Star Award recognition in my DCCS Org (Amazon Kindle team) within the 1st year of my work at Amazon in December 2021.• Awarded with the First prize in Amazon internal Hackathon 2022 for my winning solution & implementation of Deep Computer Vision models out of 300+ employees in my Org, in June 2022.

Education

• Birla Institute of Technology and Science, Pilani

  Master of Engineering - MEng, Computer Science

• Birla Institute of Technology and Science, Pilani

  Bachelor of Engineering - BE, Computer Science

• The Ohio State University Fisher College of Business

  Master of Business Administration - MBA, Business Administration and Management, General

• Harvard Business School Online

  Credential of Readiness (CORe), Business Analytics, Economics for Managers, Financial Accounting