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AI Research Engineer with less than a year in AI/LLM, Prompt Engineering, and Data Science.
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Assessing your cultural and operational fit
Highly motivated AI/LLM Intern and Research Intern with 10 months of experience in developing AI-driven solutions and conducting research in fields like fintech and remote sensing. Proficient in Python, RAG, Prompt Engineering, and various AI/ML models. Successfully optimized classification performance, developed PINN models for risk assessment, and built innovative AI-powered platforms and microservices.
Indian Institute of Information Technology, Kottayam
B.Tech. · Computer Science and Engineering
November 1, 2022 – April 1, 2026
TIFIN
AI/LLM Intern
June 1, 2025 – January 1, 2026
Bengaluru, Karnataka, India
Indian Institute of Remote Sensing (IIRS), ISRO
Research Intern
January 1, 2025 – March 1, 2025
Dehradun, Uttarakhand, India
Scientific Paper RAG Chatbot
June 1, 2026 – Present
Developed a RAG system for scientific paper analysis using section-aware retrieval, sentence-transformer embeddings, and FAISS vector search. Implemented PDF ingestion, scientific section detection, semantic chunking, and rank-based chunk re-weighting for document retrieval. Generated grounded responses with source attribution through an interactive Streamlit application.
AI-Enhanced Slack-like Chat Platform
June 1, 2026 – Present
Developed a real-time collaborative platform with AI-powered features including organizational knowledge retrieval, contextual reply generation, and meeting-note generation. Integrated OpenAI and Gemini models with authentication, real-time messaging, and multi-user collaboration workflows. Implemented tone analysis and AI-assisted communication features using LLM APIs.
LinkedIn Insights Microservice
June 1, 2026 – Present
Designed and implemented an asynchronous FastAPI service for collecting and serving LinkedIn company information through Playwright-based scraping workflows. Integrated PostgreSQL storage, Redis caching, and background processing for company content and engagement data. Developed APIs for retrieving company profiles, analytics, and AI-generated summaries from collected datasets.
Lady Ada Programming Contest finalist
Unknown
June 1, 2026 – Present
Co-author of an IEEE research paper
IEEE
June 1, 2026 – Present
Active contributor to open AI/ML research communities
Unknown
June 1, 2026 – Present
Speaker at PyCon 2025
Unknown
January 1, 2025 – Present
Participant at Amazon ML Summer School 2025
Amazon
January 1, 2025 – Present
Selected for Meta Build for AI Summit 2024
Meta
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse projects, ranging from RAG chatbots to real-time chat platforms and microservices, showcase adaptability and a broad interest in applying AI across different domains. Their involvement in open AI/ML research communities and speaking engagements suggests a collaborative and knowledge-sharing mindset, which aligns well with a research-oriented role. The blend of academic research and practical application in personal projects indicates a well-rounded individual eager to explore and contribute.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive learning attitude through participation in various AI/ML programs and community contributions. Project descriptions suggest an ability to work independently and deliver functional applications. The experience in optimizing models and contributing to monitoring workflows indicates an understanding of operational aspects in AI development. However, direct evidence of team collaboration or stress handling from the provided data is insufficient.