Divyansh Jha
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a B.Tech Computer Science graduate (Cloud Computing & Virtualization, DevOps minor) from UPES Dehradun with nine months of hands-on experience at the National e-Governance Division (NeGD), Digital India Corporation under MeitY. My work spans production-grade AI/ML systems, cloud infrastructure, and DevSecOps for government-scale platforms. I have independently built and shipped an AI Document Metadata Tagging System processing 5,000+ PDFs across 23 Indian languages, a Voice-Based Form Filling Agent with multilingual STT and LLM-powered field routing, and a LangGraph-based agentic scrutiny framework published on OpenForge. My core stack includes Python, FastAPI, LangChain, LangGraph, RAG, vector databases, Docker, AWS, and CI/CD pipelines with integrated security tooling. I bring a strong ownership mindset, having delivered complex AI systems independently in mission-critical government environments.
University of Petroleum and Energy Studies
B.Tech Computer Science & Engineering with Specialization in Cloud Computing & Virtualization Technologies and Minor in DevOps · Computer Science & Engineering
August 1, 2021 – November 1, 2025
Cultural Fit Analysis
The candidate's diverse project portfolio, including government initiatives and academic projects, indicates adaptability and a willingness to tackle varied challenges. Their specialization in Cloud Computing & Virtualization Technologies and minor in DevOps, combined with AI/ML project experience, shows a broad technical interest that could contribute positively to a dynamic team. The leadership roles in student chapters and hackathons suggest a proactive and collaborative mindset. The target role of AI Engineer aligns well with their demonstrated skills and project focus.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving skills through their project work and internship experiences. Their involvement in student organizations suggests good teamwork and leadership potential. The detailed descriptions of their projects indicate a structured approach to problem-solving and an ability to articulate technical solutions. However, without direct assessment data for psychometric or English tests, a comprehensive evaluation of communication clarity, work attitude, stress handling, and team collaboration is limited.