Shibang Das

Backend Engineer

Kolkata, West Bengal, India1 yr 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a semantic extraction pipeline reducing modeling effort by 60%.
Improved LLM accuracy from 60% to 75% through dataset refinement.
Led a Formula One Student Team in national and international competitions.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in semantic technologies and data processing.

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Skills

Core Skills

FastapiSparqlCloud ComputingData PipelinesData Structures And AlgorithmsTeam Leadership

Other Skills

API DevelopmentAgentic AIAlgorithmsAnalytical SkillsApacheApplication Programming Interfaces (API)Azure DatabricksAzure Virtual MachinesBack-End Web DevelopmentBackendBootstrapC (Programming Language)C++Cloud FirestoreCloud Storage

About

A graduate from the Indian Institute of Technology (BHU), Varanasi, currently contributing as a Backend Intern at Joveo. Core proficiencies include FastAPI, SPARQL, and Apache Jena Fueski, with a focus on developing solutions for transforming unstructured data into actionable insights using semantic technologies. Previous professional experience includes working at Tredence Inc., where contributions involved building semantic extraction pipelines and configuring knowledge graph storage. Additionally, experience at Datacurve emphasized dataset refinement and validation to enhance LLM accuracy. Motivated to leverage technical expertise to contribute to innovative and impactful solutions.

Experience

1 yr 4 mos

Total Experience

1 yr 4 mos

Average Tenure

Current Experience

Joveo

Backend Intern

Dec 2025 – Present · 6 mos · Remote

JavaSpring Boot

Tredence inc.

2 roles

Software Engineer

Promoted

Sep 2025 – Nov 2025 · 2 mos · Bengaluru, Karnataka, India

Developed a FastAPI-based semantic extraction pipeline using OntoCast, LangGraph, and OpenAI API to
convert unstructured text into RDF triples and domain ontologies, reducing manual modeling effort by ˜60%.
Configured Apache Jena Fuseki to store and query knowledge graphs via SPARQL for real-time insights.

FastAPINext.jsApacheSPARQLTypescriptPostgreSQL+2

SDE (Data)

Jul 2025 – Sep 2025 · 2 mos · Bengaluru, Karnataka, India

• Worked on Azure Databricks and learned about ETL pipelines, Medallion Architecture and database scaling.

Node.jsBackendCloud ComputingMongoDBNode.js in AzureCloud Storage+5

Datacurve

Problem Setter & Tester

May 2025 – Jul 2025 · 2 mos · San Francisco, California, United States · Remote

Authored 120+ original DSA problems and solved 50+ unseen model-generated problems, enabling deeper
error analysis and edge-case exposure during LLM training and evaluation.
Contributed to iterative dataset refinement by solving and validating diverse problem types, which helped improve LLM
solution accuracy on complex DSA tasks (e.g., recursion, DP, trees) from ˜60% to 75% on internal benchmarks.

Data Structures and AlgorithmsCompetitive ProgrammingSoftware TestingBackendAlgorithmsAPI Development

Neuronexus innovations

Software Engineer Intern

May 2024 – Jul 2024 · 2 mos · Hyderabad, Telangana, India · Remote

Improved the authentication process for newly signed-inusers in the company’s web application using React OAuth
with Google integration to ensure secure login experience.
Developed backend logic for a real-time chat widget using Socket.io and JavaScript, enabling users to connect with
support in under 1 second, increasing customer support engagement and reducing response time by ˜40%.
Wrote E2E integration tests using Playwright to validate different scenarios in the Neuronexus web app.

Software Infrastructure