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Assessing your cultural and operational fit
AI Engineer with less than a year in Machine Learning, NLP & LLMs.
Artificial Intelligence and Machine Learning expert proficient in creating intelligent systems using Python, FastAPI, SQL, LangChain, and Large Language Models (LLMs). Possesses experience in constructing conversational bots based on Retrieval Augmented Generation (RAG), creating NLP systems, and implementing machine learning models. Strong background in data preprocessing, training model optimization, and automation of AI pipelines. Passionate about leveraging AI and data-driven technologies to deliver scalable solutions and measurable business impact.
MLR Institute of Technology, Hyderabad
B.Tech · Computer Science Engineering - Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2025
Sri Chaitanya Jr Kalasala, Hyderabad
Intermediate Education
June 1, 2019 – May 31, 2021
Sri Chaitanya High School, Hyderabad
Secondary Education
N/A – May 31, 2019
DIIGOO
AI/ML Intern
April 1, 2025 – July 1, 2025
India
AI-Powered RAG Chatbot
June 1, 2025 – June 1, 2025
Developed a Retrieval-Augmented Generation chatbot using LangChain, FastAPI, FAISS, Gemini APIs. Designed REST APIs and integrated AI workflows using N8N automation and improved response relevance through document chunking, vector search, and prompt optimization.
Wound Care Management Using AR
April 1, 2025 – April 1, 2025
Developed an Augmented Reality-based wound care management system to assist in visualizing wound healing stages, enabling enhanced patient education and supporting healthcare professionals in basic assessment and monitoring.
PCAP: Programming Essentials in Python course Certification
Cisco Networking Academy in Collaboration with OpenEDG Python Institute
June 1, 2026 – Present
Smart Coder in Data Structures and Algorithms Course
Smart Interviews
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects, particularly the AI-Powered RAG Chatbot and Wound Care Management Using AR, demonstrate an interest in applying AI/ML to practical problems. The internship at DIIGOO further aligns with a hands-on, problem-solving approach. The breadth of skills listed (Python, SQL, LLMs, RAG, Deep Learning, Generative AI, Docker) indicates a willingness to explore various technologies within the AI domain. However, the experience level is very junior, which might require significant mentorship and integration into a senior-level team culture.
Soft Skills & Operational Fit
The candidate lists 'Effective Team Collaboration', 'Adaptability and Quick learning', and 'Project Management Skills' as strengths. While these are valuable, there is no direct evidence from the provided data (tests or detailed project descriptions) to objectively assess these claims. The academic projects suggest an ability to work independently or in small teams, but operational fit regarding collaboration and project management cannot be fully determined.