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AI Engineer with 1+ years in Full-stack Development & Machine Learning
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Software Engineer with hands-on experience in full-stack development, Artificial Intelligence, and Machine Learning, building scalable, high-performance applications and AI-driven systems. Skilled in developing and deploying cloud-native solutions, including Generative AI, NLP, and intelligent automation. Experienced in end-to-end development, API design, and integrating machine learning models to enhance user experience and optimize workflows. Strong foundation in data-driven problem solving and system design.
Rajiv Gandhi University of Knowledge Technologies (IIIT)
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Rajiv Gandhi University of Knowledge Technologies (IIIT)
PUC · Mathematics, Physics & Chemistry
June 1, 2019 – May 31, 2021
Quanteon Solutions
Software Engineer
January 1, 2026 – Present
Hyderābād, Telangana, India
Pragyashal Cloud Solutions Pvt. Ltd.
Machine Learning Engineer Intern
July 1, 2025 – December 31, 2025
Bengaluru, Karnataka, India
NIT Warangal
Summer Intern
May 1, 2024 – June 30, 2024
Warangal, Telangana, India
EasyReach AI – Automated Recruitment Agent
June 27, 2026 – Present
Built an automated recruitment pipeline using LangChain, LangGraph and Groq to process bulk resumes. Achieved accurate candidate information extraction and automated end-to-end screening workflow. Developed a Streamlit UI integrated with SQLite for seamless data handling and automated email outreach.
Classification & Detection of Diabetic Retinopathy and Genomic Mapping
June 27, 2026 – Present
Explored correlations between diabetes, retinal damage, and genomic markers to improve early diagnosis of diabetic retinopathy (DR). Developed a CNN-based DR classification model using fundus images and genomic features. Aim to enhance diagnostic accuracy by integrating image data with genomic information.
Autonomous Multi-Agent Research System
June 27, 2026 – Present
Designed and developed an autonomous agentic system to perform deep-dive market research without human intervention. Implemented a self-correcting workflow using LangChain and Groq that decomposes high-level queries into structured research tasks. Enabled live web scraping, multi-source data aggregation, and automated validation for accurate insights. Generated professional comparative analysis reports (e.g., iPhone vs Pixel) within seconds.
LLM ChatBots (RAG-Based Systems)
June 27, 2026 – Present
WebQueryAI: Scraped website data using BeautifulSoup and built a LangChain + Groq-powered RAG chatbot with FAISS vector store and a Streamlit interface. PDF-Chatbot: Processed PDF documents using PyMuPDF and LangChain/Groq API for context-aware responses, integrated with FAISS retrieval and Streamlit UI. Invoice Chatbot: Built an invoice-interacting chatbot using Gemini Pro and Tesseract OCR to extract information from PDFs/images and answer queries through Streamlit.
Use Machine Learning APIs
Google Cloud
June 1, 2026 – Present
Build Intelligent Agents with ADK
Google Cloud
June 1, 2026 – Present
Developing Applications with Cloud Run Functions
Google Cloud
June 1, 2026 – Present
Introduction to AI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an AI Engineer role, evidenced by a diverse portfolio of AI/ML projects (autonomous agents, RAG chatbots, recruitment automation, medical image analysis). Their academic background in Computer Science & Engineering, coupled with internships focused on Machine Learning and AI, aligns well with the target role. The breadth of skills across full-stack development, cloud platforms, and various AI frameworks indicates adaptability and a continuous learning mindset, which are valuable for dynamic tech environments.
Soft Skills & Operational Fit
The candidate's project descriptions and co-curricular activities suggest good communication skills, leadership potential, and a proactive approach to learning and development. Participation in quiz skills and cultural clubs indicates teamwork and organizational abilities. The role as a Training and Placement Cell Member also implies exposure to corporate culture and professional interaction.