Nakul Jindal

Product Engineer

Faridabad, Haryana, India2 yrs 9 mos experience

Key Highlights

  • Experienced in developing decentralized finance applications.
  • Proficient in full-stack development and blockchain technologies.
  • Strong background in data science and machine learning.
Stackforce AI infers this person is a Fintech and SaaS developer with strong blockchain and full-stack capabilities.

Contact

Skills

Core Skills

Full-stack DevelopmentBlockchain

Other Skills

HTMLCSSJavaScriptReactNodeJSMongoDBSolidityweb3.jsData ScienceDeep LearningMachine LearningData StructuresAlgorithmsC++C

Experience

2 yrs 9 mos
Total Experience
1 yr 7 mos
Average Tenure
1 yr 2 mos
Current Experience

Turing research capital

Quant Trader

Apr 2025Present · 1 yr 2 mos · Gurugram, Haryana, India · On-site

Quadeye

Quant Trader

May 2023Dec 2024 · 1 yr 7 mos · Gurugram, Haryana, India · On-site

Limechat

Data Science Intern

Sep 2021Jan 2022 · 4 mos

Block8

Software Engineer Intern

May 2021Aug 2021 · 3 mos

  • Developing a Defi application with decentralized protocols for automated liquidity provision and exchange on Ethereum network
  • Built functional websites using HTML, CSS, JS and React from Figma UI prototypes, leveraging animations and web storage
  • Acquired intensive training in Full Stack Development (NodeJS & MongoDB) to integrate backend and user authentication
  • Studied Bitcoin & Ethereum white papers to develop and deploy smart contracts in Ethereum using Solidity and web3.js
Full-Stack DevelopmentHTMLCSSJavaScriptReactNodeJS+4

Outreach cell, iit kanpur

Campus Manager

Apr 2021May 2021 · 1 mo

  • Leading 8 secretaries to work on student-alumni relations, career guidance sessions, alumni talks and fundraising campaigns
  • Developed a script to web scrape 2000+ alumni LinkedIn profiles covering 8 domains and 22 companies using BeautifulSoup

Indraprastha institute of information technology, delhi

Summer Research Intern

May 2020Aug 2020 · 3 mos

  • Conceptualized a navigation system for safe routing during COVID pandemic, based on spatial data and user’s preference
  • Parsed the local street network data from XML to graph format and implemented the Dijkstra’s and Bellman Ford algorithms
  • Studied Clustering of spatial data using R-tree indexing and mapped the live covid coordinates to design safety heuristics
  • Assigned modified weights to the graph using geopandas and achieved more than 85% safety score for 75% of the top k paths

Education

Indian Institute of Technology, Kanpur

Bachelor of Technology - BTech — Computer Science

Jan 2019Jan 2023

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