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AI Engineer with less than a year in LLMs & Full-stack Development
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate AI student with a strong interest in LLMs, full-stack, and Android development. Hands-on experience in building intelligent systems using modern AI frameworks and scalable applications. Proficient in Java, and Python with a solid grasp of data structures, algorithms, and software principles. Eager to contribute to impactful AI and software engineering projects.
Sri Vasavi Engineering College (SVEC)
Bachelor of Technology · Computer Science & Engineering (Artificial Intelligence)
November 1, 2022 – June 1, 2026
Sri Chaitanya Junior College
Maths, Physics, Chemistry · Science
July 1, 2020 – June 1, 2022
Sri Chaitanya Techno School
SSC
March 1, 2019 – March 1, 2020
IdeyaLabs
AI/ML Intern
January 1, 2026 – Present
India
National Institute of Technology (NIT) Andhra Pradesh
Product Development Intern
May 1, 2025 – August 1, 2025
India
SOC Agent
January 1, 2026 – January 1, 2026
Built a Human-in-the-Loop (HITL)gent with LangGraph turns article URLs into Twitter/LinkedIn posts; interrupt-based flow and SQLite checkpoints for resumable workflows. MCP-based publishing: agent calls tools only; separate server does OAuth and platform APIs so the graph stays stateless and credential-free. Full-stack Agent Inbox: FastAPI + React/TS for ingestion, review, edit, regeneration, and multi-account publish with encrypted tokens.
View ProjectJobPilot Agent
September 1, 2025 – September 1, 2025
Developed a full-stack AI-powered job application automation platform, streamlining the job search process and apply on behalf of users. Implemented a multi-agent system capable of scraping job postings, parsing resumes, filling application forms, and answering AI-driven questions. Designed and built a robust backend with user authentication, job application tracking, and seamless integration of AI agents.
View ProjectRAG-based PDF Answering System
April 1, 2024 – April 1, 2024
Built a system to answer questions based on PDF documents using a combination of retrieval and generation. Utilized embeddings and a vector database to retrieve contextually relevant sections. Integrated Gemini LLM with LangChain to generate accurate responses.
OCI 2024 Generative AI Certified
Oracle Certification
June 1, 2026 – Present
Azure AI Fundamentals (AI-900)
Microsoft Certification
June 1, 2026 – Present
Android Developer Certified
AICITE Cohort7
June 1, 2026 – Present
Computer Networks Certified
NPTEL Certification
June 1, 2026 – Present
AWS Certified
BrainOvision
June 1, 2026 – Present
React Developer Certified
BlackBucks Group
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from agent-based systems to RAG-based solutions and full-stack applications, indicates a broad interest and adaptability. Their involvement in multiple college clubs and hackathons suggests a collaborative spirit and a drive for continuous learning, which are positive indicators for cultural fit. The focus on AI and full-stack development aligns well with an AI Engineer role, demonstrating a clear career path and passion for the domain.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive learning attitude through numerous personal projects, certifications, and competitive programming achievements. Their involvement in various clubs and teams suggests good collaboration potential. The descriptions indicate an ability to work on complex, multi-faceted projects, which aligns well with operational demands. However, without direct interview data, specific soft skills like communication under pressure or conflict resolution cannot be fully assessed.