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AI Engineer with less than a year in AI/ML and full-stack development.
Yugal Chandak is an aspiring Backend Developer with 2 months of experience at Concur Consent Manager, where he focused on user consent tracking, data privacy compliance, and RAG-based AI system development. He has strong skills in Python, FastAPI, React, and MongoDB, demonstrated through various projects involving LLM-based parsing, AI voice assistants, and desktop automation. Currently pursuing a B.Tech in Data Science and Artificial Intelligence, Yugal is eager to apply his technical expertise in innovative software development roles.
IIIT Naya Raipur
B.Tech · Data Science and Artificial Intelligence
August 1, 2023 – June 30, 2027
Athena World School
Class 12th PCM
N/A – May 31, 2023
Concur Consent Manager
Backend Developer
May 1, 2025 – July 1, 2025
Raipur, Chhattisgarh, India
JobSy - Relevant Job Finder
May 1, 2026 – Present
Designed a resume parsing system using an LLM (Gemini) to extract structured information such as skills, experience, and education from user resumes, automating what would otherwise be manual data extraction. Implemented a job matching and ranking pipeline using web scraping and LLM-based relevance scoring to surface relevant job opportunities in near real time, cutting manual job search effort by around 20%.
View ProjectCaLL2 - AI Agent as Caller
May 1, 2026 – Present
Created an AI-driven voice assistant for real-time phone conversations to deliver information, collect inputs, and support hands-free task execution via natural language. Integrated Twilio for call handling and LiveKit for low-latency audio streaming to enable reliable real-time voice communication.
View ProjectVo-fi - Desktop Automation with Voice
May 1, 2026 – Present
Developed a voice-controlled desktop automation system in Python enabling hands-free application launching, text entry, file search, web browsing, and Excel automation using SpeechRecognition, PyAutoGUI, asynchronous processing, and multithreading, reducing manual interaction for repetitive desktop tasks by 20%. Architected a real-time automation setup with a custom MCP server for Excel control and a WebSocket-based Python-browser bridge to support live form filling through voice commands, cutting data entry by 10%.
View ProjectInGrys - AI-Native
May 1, 2026 – Present
Built an app with FastAPI as the backend, using pytesseract for OCR and AI to understand and process health-related content from images. Adopted an intent-first, reasoning-driven approach instead of form-based flows, where the system first interprets user intent and then generates structured, explainable outputs.
View ProjectA-Z Machine Learning course
Udemy
May 1, 2026 – Present
Cultural Fit Analysis
The candidate exhibits a strong passion for AI, consistently pursuing projects and an internship directly aligned with the field. Their participation in hackathons and competitive programming reflects a proactive, growth-oriented mindset and a drive for excellence. The 'intent-first, reasoning-driven approach' in their projects highlights an innovative and thoughtful approach to problem-solving, which aligns well with a culture of continuous improvement and cutting-edge AI development. The diversity of AI applications explored also suggests adaptability and a willingness to tackle varied challenges.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities through complex project implementations and competitive programming. Their initiative and learning agility are evident in the breadth of technologies adopted across personal projects. The focus on quantifiable impact in project descriptions suggests a results-oriented mindset. Participation in hackathons implies an ability to collaborate and perform under pressure. Operationally, their project-driven approach and experience with various tools indicate a capacity to quickly adapt and contribute to dynamic AI development environments.