Manish Kumar

Experience

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  Defence Research and Development Organisation (DRDO)

  Jun 2018 - Aug 2018

  Summer Research Intern

  > Interned at Defence Terrain Research Laboratory (DTRL).• Designed and Developed an algorithm for an automatic spectra verification in terms of their quality and correctness using the proposed parameters by the lab.• Techniques like Empirical Mode Decomposition and Spectral Similarity Measure were used to find a degree of similarity between the various bands of the spectrum.

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  Codezoned

  Jul 2018 - now

  Maintainer / Core Team

  Codezoned is an Open source non-profit-organization which is targeting on educating and spreading our core belief of "learning by doing".>> Responsibilities undertook by me -> Mentored students on Algorithms and Data Structures.> Built various repositories to escalate open-source culture in colleges.> Actively contributed to open-source projects like Psipher and ScriptsDump (100+ stars on Git Hub).> Guided 15+ students for open-source, personal projects and research areas like Hyperspectral and Image Processing. Show less

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  Defence Research and Development Organisation (DRDO)

  Dec 2019 - May 2020

  Research Intern

  > The thesis internship was conducted under the guidance of Sh. T S Rawat Sc - ‘F’ at DTRL, DRDO.• Review of ensemble-based decision making criteria for the classification of Hyperspectral Images.• Investigated supervised and unsupervised band selection methods for Hyperspectral Images.• Developed an Unsupervised Band Selection model based on Evolutionary Multiobjective Optimization for Hyperspectral Images using Boltzmann Entropy. This resulted in an increase in overall classification accuracy by 10%.• Evaluated various entropies for Hyperspectral Images to find the balance between the number of features/bands and usefulness of the information provided by the mathematical function. Show less

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  ValueLabs

  Jul 2020 - Apr 2024

  • Extensive experience in custom Language Model (LLM) training, fine-tuning like Pythia, mpt, open-assist, starcoder, codegen, flan-T5, gpt4all, dolly, camel, vicuna.• LLM deployment for large-scale projects, successfully accommodating and serving a user base exceeding 5000+ on an AWS EC2 with 4 A10 GPUs.• Demonstrated proficiency by successfully developing more than 18 proof of concepts (POCs) and 8 Minimum Viable Products (MVPs) in diverse domains such as computer vision, natural language processing (NLP), and predictive analytics.• Led a team of 6 machine learning engineers, and provided expert guidance and mentorship to 10 interns in the field of AI/ML.• Seasoned machine learning consultant with a strong track record of assessing business requirements and presenting viable machine learning solutions to clients and prospects in South East Asia, the US, and Canada regions. Show less

  • Consultant

    Nov 2023 - Apr 2024

  • Associate Consultant

    Oct 2021 - Nov 2023

  • Technical Consultant

    Jul 2020 - Sept 2021