Headline

Final-Year @ IIT Kharagpur | Building AI & Backend Systems @ PathX | AMSS ’25 | LLMs & Agentic AI | IISc Research Fellow ’25

About

Hi, I’m Aritra Sarkar, a final-year B.Tech student in Electrical Engineering (Instrumentation) at IIT Kharagpur, focused on AI/ML systems and backend engineering. I’ve worked on LLMs, agentic AI, document intelligence, and autonomous systems through industry and research experience at PathX, RMgX, and IISc Bengaluru. I enjoy building reliable, real-world systems and solving challenging problems at the intersection of AI, software, and intelligent systems.

Location

Kharagpur

AI stack

claude code

codex

cursor

hugging face

langgraph

ollama

Work experience

GenAI Intern at Prometheus Consulting Services., Sep 2026 - Present · 2 mos, Gurugram, Haryana, India, • Built an LLM-powered resume-parsing pipeline for PDF and DOCX files using Gemini, Claude, structured outputs, and schema validation. • Tested the pipeline on 500 resumes, implementing provider failover and tracking model cost and latency.

Software Research Intern at Department of Electrical Engineering, IIT Kharagpur, Jun 2026 - Jul 2026 · 2 mos, Kharagpur, West Bengal, India, • Developed a CSRankings-inspired platform for Indian EE/ECE research across 69 institutions and 13 research areas. • Built publication data pipelines, faculty matching, and fractional authorship scoring using OpenAlex, Crossref, FastAPI, and PostgreSQL.

AI & Backend Engineering Intern at PathX Advanced systems, May 2026 - Aug 2026 · 4 mos, Gurugram, Haryana, India, • Developed Python and FastAPI backend services for drone mission management and fleet operations. • Worked on MQTT telemetry, drone-to-pad communication, and ES256-signed JWT authentication with offline verification.

Artificial Intelligence Intern at RMgX Technologies LLP, Dec 2025 - Feb 2026 · 3 mos, Gurugram, Haryana, India, • Built an AI-powered Statement of Work analysis pipeline using Python, FastAPI, PDF parsing, OCR, and LLMs. • Implemented chunk-based document analysis and structured JSON extraction for complex documents up to 100 pages.

Mentee at Amazon, Aug 2025 - Nov 2025 · 4 mos, Remote, • Selected for Amazon ML Summer School 2025, a structured machine learning programme. • Studied core ML concepts, including supervised and unsupervised learning, through expert-led sessions.

Education

Bachelor of Technology - BTech, Electrical Instrumentation Engineering, Indian Institute of Technology, Kharagpur

CBSE XII(Science), Hem Sheela Model School - India

Public links

github: https://github.com/ari2612sarkar