Akshat Agarwal
@akshatagarwal4
AI & ML-focused software engineer specializing in LLMs, retrieval systems, and full-stack AI product development.
What I'm looking for
I am an AI- and ML-focused software engineer and data analyst building scalable LLM-driven products, retrieval-augmented systems, and blockchain-integrated applications. I combine hands-on experience in model orchestration, vector databases, LangChain, and full-stack development to deliver responsive, production-ready user experiences and reliable data pipelines.
My background includes internships in blockchain data analytics and business analytics, multiple award-winning hackathon projects, and development of multi-agent conversational platforms and AI-powered apps. I prioritize pragmatic engineering, data quality, and user-centric design to accelerate product impact and enable data-driven decisions.
Experience
Work history, roles, and key accomplishments
Blockchain Data Analyst Intern
Hollborn Wells
May 2025 - Jul 2025 (2 months)
Fetched, cleaned, and analyzed blockchain data by integrating APIs (Dune, Etherscan, Moralis, Bitquery) and optimized SQL/GraphQL queries to extract on-chain metrics and transaction patterns, ensuring pipeline accuracy.
Business Analytics Intern
TheSmartBridge
Apr 2024 - Jun 2024 (2 months)
Built an interactive Qlik Sense dashboard that reduced manual reporting by 30%, merged data from 5+ sources to improve precision by 25%, and produced 10+ custom reports to accelerate decisions.
Education
Degrees, certifications, and relevant coursework
VIT Bhopal University
Integrated Master of Technology, Computer Science and Engineering (Computational and Data Science)
2021 -
Grade: 8.08 GPA
Integrated Master of Technology in Computer Science and Engineering with specialization in Computational and Data Science; cumulative GPA 8.08.
Akalank Public School
Class XII, Higher Secondary Education
2019 - 2020
Grade: 67.6%
Completed Class XII with a percentage score of 67.6.
D.A.V Public School
Class X, Secondary Education
2017 - 2018
Grade: 77%
Completed Class X with a percentage score of 77%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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