A

Anup

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Roy
West Bengal, India
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Flexible work

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Jobs verified_user 0% verified
  • Sagility
    Research Scientist
    Sagility
    Feb 2025 - Current (1 year 5 months)
    โ€ข Integrated Agentic Flow for real-time sentiment and rapport analytics in healthcare support calls, boosting F1 from 0.78 to 0.90 and shortening post-call summarization by 45 %.
  • E
    Research Scientist
    ETS-Research Institute
    Feb 2024 - Dec 2024 (11 months)
    โ€ข LLMs for Automated Essay Scoring (AES): Explored T5 and LLaMA models to enhance AES accuracy. โ€ข Tweaking T5 for Classification/Regression: Fine-tuned T5 to improve essay categorization and scoring. โ€ข Implementation ofAES Research: Applied research findings to develop advanced AES models. โ€ข Model Evaluation and Optimization: Conducted rigorous evaluations to optimize AES model performance.
  • A
    |Applied Scientists-Intern
    Amazon India
    Jan 2024 - Jun 2024 (6 months)
    โ€ข Built a multi-task LLaMA pipeline for address parsing & matching, lifting F1 by 9 pp on U.S. addresses. โ€ข Applied LoRA + DeepSpeed to cut GPU training hours by 50 % and keep inference under 100 ms.
  • F
    Freelance AI/ML (Upwork)
    Jun 2019 - Aug 2022 (3 years 3 months)
    โ€ข Researched GCN-based chip/ship destination alignment: modelled placement as a spatial graph, trained GCNs/GATs to optimise inter-component spacing, and raised alignment accuracy by 18 %. โ€ข Collaborated with startups to design and teach AI/ML curriculaโ€”delivered 25+ live sessions on NLP, RAG, and GenAI, providing hands-on labs and project mentorship. โ€ข Built transformer-augmented residual return predictors that fuse US-equity price history with GDELT event signals, yielding a 0.4 Sharpe-ratio uplift on out-of-sample tests.
Education verified_user 0% verified
  • I
    M.S.
    Indian Institute of Technology Kanpur (IITK)
    Jan 2020 - Jan 2023 (3 years 1 month)
  • G
    B.Tech.
    GCELT
    Jan 2015 - Jan 2019 (4 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • M
    Multilingual Named Entity Recognition and Part of Speech Tag Guide
    โ€ข Design and development of Multilingual NER and POS systems for multiple Indian languages, mainly Hindi, Bengali, Telugu, Malayalam, and Marathi, with an emphasis on detecting semantically ambiguous and complex things in brief and low-context scenarios is the objective of this project. โ€ข Experimented different models namely Bi-LSTM CRF, Bi-LSTM Attention CRF, and mBERT-CRF compared using the weighted F1-Score โ€ข mBERT-CRF has done exceptionally well and provided accuracy comparable to or exceeding state-of-the-art.