VKS

VIKASH KUMAR SINGH

Software Engineer

https://www.opentalent.in/vikash-kumar-singh-3541026

Software Engineer with less than a year in Go, React, JavaScript, and Cybersecurity projects.

Key Strengths

Proficiency in Go for concurrent programming and network applications, demonstrated by the IRC client project.
Strong front-end development skills with React, JavaScript, HTML, and Material UI, as shown in the TrainTogether and ingreSnap projects.
Experience with API integration (RapidAPI, YouTube Search API) and OCR technology.
Understanding of core computer science concepts including OOP, OS, DBMS, Data Structures, and Algorithms.
Active participation in academic projects showcasing practical application of learned skills.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects show a diverse interest in network programming (Go), web development (React), and OCR/data analysis. Participation in an entrepreneurial cell and a hackathon indicates a proactive and competitive spirit. The projects are well-aligned with a Software Engineer role, demonstrating a breadth of technical interests and a willingness to tackle different problem domains. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.

Soft Skills & Operational Fit

The candidate demonstrates initiative through academic projects and participation in a hackathon. The project descriptions suggest an ability to work on user-centric solutions and integrate various technologies. However, without specific work experience or psychometric test results, it's difficult to fully assess operational fit, stress handling, or team collaboration in a professional setting.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

A proactive Computer Science student specializing in Cyber Security & Digital Forensics with a strong foundation in modern web technologies and programming. Experienced in building full-stack applications and real-time systems using Go, React, and JavaScript. Demonstrated ability in developing RFC-compliant clients, integrating APIs, and implementing OCR solutions for data extraction and analysis. Adept at problem-solving and committed to delivering robust, user-centric software solutions.

Top Skills

GoreactJavaScriptPythonSQL

Education

VIT BHOPAL UNIVERSITY

Bachelor of Technology · Computer Science (Cyber Security & Digital Forensics)

August 1, 2022 – June 30, 2026

B.L. Indo Anglian Public School

XII (CBSE)

N/A – May 31, 2021

D.A.V. Public School

X (CBSE)

N/A – May 31, 2019

Projects

Real-Time IRC Client

June 16, 2026 – Present

Built an RFC 2812-compliant IRC client in Go, connecting to live IRC servers using TCP sockets. Implemented concurrent bidirectional communication using goroutines and channels for real-time message handling. Designed a robust IRC message parser supporting 15+ commands (JOIN, PART, NICK, PRIVMSG, PING/PONG) with proper client state management. Ensured thread-safe operations through channel-based coordination between send and receive routines.

View Project

TrainTogether - Fitness Web Application

June 16, 2026 – Present

Built a responsive fitness web application allowing users to search exercises by muscle group, equipment, or body part, with detailed GIF animations and step-by-step guides. Integrated RapidAPI ExerciseDB and YouTube Search API to fetch 1,300+ exercises and related workout videos dynamically. Implemented React Router v6 for seamless navigation across Home, Exercise Details, and Recommendations pages. Used Material UI for a modern, responsive interface and custom hooks for clean data fetching. Added similar exercises and target muscle suggestions to enhance the workout discovery experience.

ingreSnap - Smart Ingredient Scanner

June 16, 2026 – Present

Contributed to the development of ingreSnap, a user-centric solution that extracts and analyzes ingredient lists from packaged food labels using OCR. Enabled automatic detection of allergens, additives, and key nutritional components, helping users make informed dietary choices. Integrated OCR technology to convert food label images into structured, searchable ingredient data. Focused on accessibility, accuracy, and performance, optimizing UI/UX for seamless user interaction. Designed with health-conscious users, ensuring clarity in identifying potentially harmful or unwanted ingredients.

Key Strengths

Proficiency in Go for concurrent programming and network applications, demonstrated by the IRC client project.
Strong front-end development skills with React, JavaScript, HTML, and Material UI, as shown in the TrainTogether and ingreSnap projects.
Experience with API integration (RapidAPI, YouTube Search API) and OCR technology.
Understanding of core computer science concepts including OOP, OS, DBMS, Data Structures, and Algorithms.
Active participation in academic projects showcasing practical application of learned skills.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit