Akshit M.

Experience

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  Tollring

  Jun 2022 - Jan 2023

  ▪As an ML engineer working for Tollring while studying for my Bachelors degree, I Collaborated with Engineering managers to develop contextualTopic Modeling algorithm, transitioning from LDA to BERT.▪ This transition resulted in a 25% reduction in misclassifications of customer sentiments, showcasing the superiority of BERT in handling nuancedlanguage expressions, contributing significantly to accelerate their Voice.Ai product development.▪ Implemented BERT for topic modeling on customer review data, achieving a remarkable 30% enhancement in algorithmic accuracy.▪ This improvement directly contributed to elevating Voice.AI as the top-performing feature, leading to a 15% increase in positive sentimentidentification within customer reviews. Show less Leveraged advanced machine learning and statistical modeling techniques to conceive, refine, and assess algorithms aimed at enhancing performance, quality, and accuracy. Proficient in utilizing TensorFlow frameworks and well-versed in existing Natural Language Engines/frameworks. Demonstrated hands-on experience with diverse unsupervised NLP algorithms, including Latent Dirichlet Allocation (LDA), Bidirectional Encoder Representations from Transformers (BERT), and Non-negative Matrix Factorization (NMF). Collaborated closely with Engineering managers to formulate a cutting-edge contextual Topic Modeling algorithm, contributing to innovative solutions and optimized outcomes. Show less

  • Machine Learning Engineer

    Aug 2022 - Jan 2023

  • Intern

    Jun 2022 - Jul 2022
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  NeuMind.ai (Durham VLSA 24)

  Nov 2023 - now

  Co- Founder
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  Durham University Computer Science

  Jul 2024 - Sept 2024

  Co-Founder | Venture Lab Startup Accelerator

  Building a Deep Tech Startup to enhance the quality of academic research output.

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  JointEffort.io

  Oct 2024 - now

  Software Engineer

  Developing RAG pipelines and production-ready machine learning systems for new product features at JoinEffort.ioImplement full-stack solutions using Python, TypeScript, C#, and Angular for frontend and backend developmentManage data pipelines utilizing AWS S3, MongoDB, and Lambda functions for efficient data processing and storage