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AI Engineer with 2.5+ years in Python, AI/ML, and Generative AI
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Assessing your cultural and operational fit
Full Stack Python Developer with 2+ years of experience in building scalable web applications and backend systems using Django and Frappe. Recently expanded expertise into AI/ML and Generative AI, with hands-on experience in developing RAG-based intelligent systems using LLMs LLaMA via Ollama for document understanding and conversational interfaces.
Sri Venkateswara Engineering College
B.Tech · Computer Science
August 1, 2019 – June 30, 2023
Tracxn Technologies
Senior Automation Engineer
September 1, 2025 – Present
Bengaluru, Karnataka, India
360 IT Hub Pvt Ltd
Associate Full Stack Developer
February 1, 2024 – August 1, 2025
Bengaluru, Karnataka, India
AI Email Intelligence System – RAG Powered Automation
June 1, 2026 – Present
Built an AI-powered email analysis platform using Google Gemini APIs and Retrieval Augmented Generation (RAG) to automatically process client communications. Developed automated pipelines to fetch email subject and body via APIs, preprocess text, and send structured prompts to LLM models for contextual understanding. Generated AI-based transcripts and summaries from long email threads, enabling internal teams to quickly understand client perspectives. Designed a workflow to store structured insights into Google Sheets, allowing teams to track communication summaries without manually reading email threads. Implemented token monitoring and optimization mechanisms to prevent excessive LLM usage and control API costs.
AI-Powered Policy Chat Bot Assistant
June 1, 2026 – Present
Built a RAG (Retrieval-Augmented Generation) based chatbot to query company documents such as leave policies, terms & conditions, and client agreements. Integrated LLM models (LLaMA via Ollama) for generating accurate, context-aware responses. Implemented PDF data ingestion and text chunking for efficient semantic search. Used vector embeddings and similarity search to retrieve relevant document sections. Reduced manual document reading effort by 80%+ through automated information retrieval. Ensured contextual accuracy by combining retrieval + generation approach instead of direct LLM answers. Designed a conversational interface to allow users to ask questions in natural language.
Business Network Management Platform – Backend & API Development
June 1, 2026 – Present
Engineered the complete backend architecture for a business management mobile application, serving the operational needs of RB Business Nexus World. Built and maintained secure RESTful APIs for core functionalities including user onboarding, profile management, and session control. Collaborated directly with the mobile development team to integrate and test APIs, ensuring a smooth and responsive user experience on the Flutter app. Integrated multiple third-party services including WhatsApp Business API, Twilio (Calls/SMS), and Firebase Cloud Messaging (FCM) for real-time communication.
E-commerce Platform
June 1, 2026 – Present
Architected and developed a full-featured e-commerce website from the ground up using the Frappe framework, handling everything from product display to order fulfillment. Leveraged Jinja templating to create dynamic, server-rendered web pages for product catalogs, user profiles, shopping cart, and the checkout process, passing data efficiently from the Python backend. Designed and implemented custom Frappe DocTypes and business logic to manage key e-commerce modules, including product inventory, customer data, and order processing. Integrated the Razorpay payment gateway to process transactions securely and built automated email notifications for order confirmation and shipping updates.
AWS Cloud computing
APSSDC
June 1, 2026 – Present
Python for Machine Learning
Great Learning
June 1, 2026 – Present
Intro to Machine Learning
Kaggle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-powered email systems and chatbots to e-commerce platforms and business network management, indicates adaptability and a broad interest in technology. The target role of 'AI/ML Engineer (Graduate)' aligns well with their recent focus on AI/ML projects and certifications, suggesting a strong desire to specialize in this area. Their experience with both personal and professional projects, including collaboration with other teams, suggests a proactive and team-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through the development of complex AI-powered systems and automation scripts. Their experience in an Agile environment and collaboration with mobile development teams indicates good teamwork and operational fit. The focus on cost optimization (token monitoring) shows a practical, business-oriented mindset.