Vishal Anand

Senior Software Engineer

Mandi, Himachal Pradesh, India8 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Achieved top 16 rank in ACM ICPC India Regionals.
Increased business card extraction accuracy from 75% to 90%.
Hosted competitive programming contests on multiple platforms.

Stackforce AI infers this person is a Backend Developer with strong skills in database management and competitive programming.

Contact

Skills

Core Skills

Backend DevelopmentDatabase Management

Other Skills

Vue.jsLaravelGoogle OCRRedisNeo4jPHPPythonC++CProgrammingData StructuresAlgorithmsHTMLLinuxCascading Style Sheets (CSS)

About

#TODO: Update Bio I'm a 4th year B.Tech undergrad at IIT Mandi with majors in Computer Science and Engineering. I am a competitive programmer and very much interested in data structures and algorithms and software development. Went to ACM ICPC India Regionals: Kharagpur 2018, Kharagpur and Kolkata/Kanpur 2019 with best rank of 16/160. Hosted competitive programming contests on Codechef (Rated for Div2), Codeforces (Groups), Hackerearth. I have been: • ACM Students Chapter Coordinator in 3rd year • Joint Sports Secretary in 2nd year • Cricket Secretary in 1st year Codeforces Profile : http://codeforces.com/profile/lane Codechef Profile : https://www.codechef.com/users/vishal_nnd0 Github : https://github.com/Vishal1541/

Experience

8 yrs 6 mos

Total Experience

2 yrs 1 mo

Average Tenure

5 yrs 10 mos

Current Experience

Google

3 roles

Senior Software Engineer

Apr 2025 – Present · 1 yr 2 mos · Hyderabad, Telangana, India

Software Engineer III

Oct 2022 – Apr 2025 · 2 yrs 6 mos · Hyderabad, Telangana, India

Software Engineer II

Aug 2020 – Oct 2022 · 2 yrs 2 mos · Hyderabad, Telangana, India

Tonichi insatsu

Software Engineer Intern

Jun 2019 – Aug 2019 · 2 mos · Tokyo, Japan

Worked on the backend of an application written in Vue.js and Laravel framework to accurately and speedily extract various Japanese business cards fields, the app directly used by the clients. These cards being in varieties make the job challenging.
Made full use of fullTextAnnotation from Text_Detection and Document_Text_Detection from Google OCR results and developed various algorithms to increase the accuracy of extraction of different fields by a significant amount.
Used Redis, an in-memory database, to store and retrieve data instantly and hence speed up the overall execution time.
Used Neo4j, a graph database, for querying the so-far built relationships between older card fields for better and way fast classification of the current card fields.
Wrote socket programs with PHP as the client node and python as the server node to run instantly various python programs (use packages like SudachiPy, FinderAcora) to help better predict various field values.
Increased the overall card field extraction accuracy from 75% to 90% and speed up the overall app execution time from 1.5 sec to 0.3 sec per card.

Vue.jsLaravelGoogle OCRRedisNeo4jPHP+3

Indian institute of technology, mandi

ACM Students Chapter Coordinator

Jun 2018 – Jun 2019 · 1 yr · Mandi Area, India

The programming community of IIT Mandi focusing on raising its programming culture to the next level and exploring different fields of Computer Science including but not limited to competitive programming ( like ACM ICPC ), open source development ( like GSoC - Google Summer of Code, OutReachy ), attending conferences ( like GHCI - Grace Hopper Celebration India ), organising Hackathons, etc.