Akshat Sthapak
@akshatsthapak
Software engineer and ML-driven builder specializing in RAG search and scalable backend systems.
IndiaWhat I'm looking for
I’m a Graduate Engineer Trainee who builds practical, production-oriented systems—especially document workflows and AI-powered search. At Systra, I developed a Document Management System for railway commissioning documents, reducing retrieval time by ∼60% and presenting the platform to government stakeholders to secure production approval.
I also focused on automation and intelligent retrieval: I built Python-based ingestion and metadata extraction pipelines, and created a LangChain-based RAG PoC for context-aware enterprise document search. To make delivery reliable, I containerized services with Docker, streamlining deployment and maintenance workflows.
Earlier, as an SDE-Intern, I implemented user-facing features and Google reCAPTCHA, reducing fake registrations by ∼90%, and built a MERN web app with secure JWT authentication plus scalable RESTful APIs. I’ve also worked on predictive maintenance using Python and operational data (reducing unscheduled downtime by ∼33%) and delivered a Full-Stack FoodCorps platform that improved user experience by 35% through performance and accessibility testing.
Experience
Work history, roles, and key accomplishments
Developed a Document Management System for railway commissioning documents, reducing document retrieval time by ~60%. Built Python-based ingestion and metadata extraction pipelines and a LangChain RAG proof of concept for context-aware enterprise document search.
SDE-Intern
ITJOBXS
May 2023 - Aug 2023 (3 months)
Implemented user-facing features including Google reCAPTCHA, reducing fake registrations by ~90%. Built a client-facing MERN web application with secure JWT authentication and developed scalable RESTful APIs with MongoDB Atlas query optimization.
Summer Intern
West Central Railway
Jul 2022 - Aug 2022 (1 month)
Contributed to a predictive maintenance project using Python and operational data to improve train scheduling efficiency. Analyzed historical failure data and real-time sensor inputs, reducing unscheduled downtime by ~33%, and supported reliability improvements for 1,000+ daily commuters.
Education
Degrees, certifications, and relevant coursework
Gati Shakti Vishwavidyalaya
Bachelor of Technology, Electronics and Communication Engineering
2021 - 2025
Grade: CGPA - 8.02
Bachelor of Technology in Electronics and Communication Engineering at Gati Shakti Vishwavidyalaya (Nov 2021–May 2025), achieving a CGPA of 8.02.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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