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Education

  • B.Tech in Computer Science + M.S. in Computational Linguistics
    • IIIT Hyderabad, 2022 - 2027 (expected)
    • Relevant Coursework: Advanced NLP, Data Structures & Algorithms, Probability & Statistics

Research Experience

  • Visiting Researcher (May 2025 - Dec 2025)

    • DACS, Maastricht University, Netherlands
    • Applying ML and integrating multi-modal data for improving crop yield prediction within the EU Horizon Project AMBROSIA
    • Advisors: Dr. Vageesh Saxena and Prof. Christopher Brewster
  • Research Assistant / Undergraduate Researcher (Apr 2024 - Present)

    • Precog - LTRC, IIIT Hyderabad, India
    • Conducting research on Responsible AI, focusing on codemixing, robustness, AI Alignment and multi-modal systems
    • Advisors: Dr. Radhika Mamidi and Dr. Ponnurangam Kumaraguru

Tech Experience

  • AI Research Intern (May 2026 - Aug 2026)

    • Fujitsu Research of India (FRIPL), Bangalore, India
    • Worked with Dr. Siddartha Reddy and Dr. Ishan Jindal on improving memory management for self-evolving multi-agent systems
  • AI/ML Intern (May 2025 - Jul 2025)

    • StartupWind SmallBiz Pvt. Ltd., Pune, India
    • Awarded Best Engineering Performer (Q2 2025)
    • Engineered a production-ready LangGraph AI agent for personalized generation
    • Designed a novel GenAI evaluation framework achieving 98.5% consistency
  • AI/ML Intern (May 2024 - Aug 2024)

    • EOS Pvt. Ltd., Pune, India
    • Developed a scalable RAG-based chatbot pipeline to streamline information retrieval
    • Implemented Vision Language Models (VLMs) to automate container damage detection, improving assessment accuracy by 20%

Skills

  • Languages: Python, C, SQL
  • AI/ML: PyTorch, LangGraph, NLTK, Scikit-learn, Hugging Face
  • Tools: Git, Flask, Docker, SQL Databases
  • Concepts: GenAI, RAG, Responsible AI, ML, DSA

Publications

  • S. Joshi. (2025). "The 'aftermath' of compounds: Investigating Compounds and their Semantic Representations." IJCNLP-AACL 2025 (SRW).

  • P. Kodali, V. Shivkumar, S. Joshi, M. Choudhary, P. Kumaraguru. (2025). "Adapting Multilingual Models to Code-Mixed Tasks via Model Merging." CODS-IKDD 2025.

  • S. Joshi*, S. Mavani*, et al. (2024). "SceneGraMMi: Scene Graph-boosted Hybrid-fusion for Multi-Modal Misinformation Veracity Prediction." arXiv:2410.15517.

Key Research Projects

See the Research page for full details of current and past projects.

Teaching & Mentoring

  • Invited Talk and Mentorship, Computational Psycholinguistics, IIIT Hyderabad (2026)

    • Helped develop and teach a session on Psycholinguistics for 50+ students
  • Invited Talk, Ambrosia Consortium, KEDEA, Thessaloniki, Greece (2025)

    • Delivered a talk on ML for Sustainable Agriculture at the AMBROSIA Plenary Meeting
  • Program Chair, MT Summit 2025, Geneva, Switzerland

    • Served as a program chair and reviewer for the Machine Translation Summit 2025
  • Reviewer, ACL 2025 and ICML AI4Math Workshop 2025
  • Teaching Assistant and Host, ACM India Summer School on Responsible & Safe AI, IIT Madras (2024)