IIT Bhubaneswar | Amazon MLSS’25 | Ex-Intern @ IIM Ahmedabad, IIM Calcutta, Unstop


Remote








B.Tech and M.Tech, Mechanical Engineering
Indian Institute of Technology, Bhubaneswar
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Download Tal BossIIT Bhubaneswar | Amazon MLSS’25 | Ex-Intern @ IIM Ahmedabad, IIM Calcutta, Unstop
I am an IIT Bhubaneswar graduate passionate about leveraging Artificial Intelligence, Machine Learning, and Analytics to solve real-world business problems. My experience spans Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), data engineering, and data visualization, with projects involving Retrieval-Augmented Generation (RAG), sentiment analysis, and large-scale data processing. Through internships at IIM Ahmedabad, IIM Calcutta, and Unstop, I have worked on AI, analytics, and research projects, gaining experience in developing data-driven solutions and translating complex data into actionable insights. Beyond academics, I have represented IIT Bhubaneswar at various national competitions and held leadership positions within the institute. I am always eager to learn, collaborate, and contribute to impactful work in AI, Data Science, Analytics, and emerging technologies.
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AI Research Intern at Indian Institute of Management Ahmedabad, May 2026 - Jul 2026 · 3 mos, - Built a 10-module pipeline that fact-checks real-world claims against GDELT, a global news database (maintained by Google) using ClickHouse for large-scale retrieval. - Designed a 9-agent LLM system (LangGraph) that decomposes claims, gathers evidence in parallel, and outputs a multi-factor confidence score. - Built a RAG layer that narrows thousands of candidate articles down to the 10 most relevant per claim using embeddings and rank fusion. - Added a verification layer that cross-checks AI verdicts against Wikipedia and live search, with fault-tolerant fallbacks across local and cloud LLMs.
Research Intern at Indian Institute of Management, Calcutta (IIM Calcutta), Jun 2025 - Jul 2025 · 1 mo, Remote, - Automated extraction of 1.5M+ records via Selenium and BeautifulSoup with concurrent scraping and error handling. - Integrated data with geospatial coordinates of 145K+ locations using scalable merging workflows for analytics. - Built Pandas cleaning pipeline validating data point mappings and removing inconsistencies across 400+ files.
Intern at Unstop, Nov 2023 - Jan 2024 · 3 mos, - Automated data extraction workflows to improve operational efficiency and support teams in accelerating data-driven decisions. - Collaborated with teams and recruiters to ensure smooth integration and publication of opportunities, boosting platform reliability.
B.Tech and M.Tech, Mechanical Engineering, Indian Institute of Technology, Bhubaneswar