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Shramita MaheshwariSM
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Shramita Maheshwari

@shramitamaheshwari

AI/ML intern building reliable NLP and RAG systems that turn data into actionable insights.

India
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What I'm looking for

I want to build production NLP/GenAI systems that are measurable, reliable, and fast—especially RAG with hallucination mitigation. I’m excited to work on real-world data pipelines, rigorous evaluation, and iterative prompt/architecture improvement.

I’m an AI Intern focused on production-ready machine learning and GenAI systems, with hands-on experience building end-to-end pipelines and shipping solutions that reduce real operational effort. At Infosys Springboard, I developed a Real-Time Competitor Strategy Tracker that processes pricing and inventory signals across 250+ products, cutting analyst workload from 20 to 4 hours/week (80% reduction).

My work centers on NLP and reliability: I’ve applied transformer-based techniques, engineered scalable data workflows, and specifically investigated LLM hallucination failure modes to improve relevance and reliability through prompt design and evaluation. I also built a hallucination-resistant Conversational Assessment Recommender using a production RAG architecture (LangChain, SentenceTransformers, FastAPI) and designed vector search APIs with systematic chunking/embedding benchmarking (FAISS), along with strong ML foundations from course work and projects including forecasting and CNN classification.

Experience

Work history, roles, and key accomplishments

IS

AI Intern

Infosys Springboard

Aug 2025 - Nov 2025 (3 months)

Built an end-to-end ML pipeline for a real-time competitor strategy tracker across 250+ e-commerce products, reducing analyst workload from 20 to 4 hours/week (80% reduction). Applied NLP to extract competitive signals from unstructured text and iterated prompt design and evaluation to mitigate GPT-3 LLM hallucination failure modes, improving relevance and reliability.

Education

Degrees, certifications, and relevant coursework

Rajiv Gandhi Institute of Petroleum Technology (RGIPT) logoRR

Rajiv Gandhi Institute of Petroleum Technology (RGIPT)

B.Tech, Computer Science and Design

2023 - 2027

Grade: CGPA: 8.36/10

Activities and societies: Relevant courses: Artificial Intelligence, NLP, Statistics & Probability, Data Structures & Algorithms, Data Analytics, DBMS. AI Intern—Infosys Springboard (Aug–Nov 2025): built a real-time competitor strategy tracker with an end-to-end ML/NLP pipeline and LLM hallucination mitigation.

Pursuing a B.Tech in Computer Science and Design at RGIPT, Bangalore. Completed relevant coursework in AI, NLP, data analytics, DBMS, and core programming/data-structure subjects.

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