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AI Engineer with less than a year in LLMs, Prompt Engineering & MLOps
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Assessing your cultural and operational fit
Highly motivated and results-driven Generative AI Developer with a strong foundation in machine learning, deep learning, and advanced NLP techniques. Possessing 0.9 years of experience, I excel in building end-to-end AI applications, optimizing LLM performance, and developing conversational AI agents. My expertise spans across prompt engineering, fine-tuning, RAG pipelines, and integrating various GenAI models. I am passionate about leveraging AI to automate complex workflows and create intelligent solutions, as demonstrated through impactful projects and internships.
Maharshi Dayanandan University (MDU)
Master's of Computer Application
August 1, 2024 – June 30, 2026
Quelvix
Generative AI Developer Intern
January 1, 2026 – April 1, 2026
Bengaluru, Karnataka, India
Bitlance Tech Hub Pvt Ltd
AI Developer Intern
July 1, 2025 – December 1, 2025
Pune, Maharashtra, India
LinkedIn Post Generator
June 1, 2026 – Present
(Python, LangChain, Groq, LLaMA 3.3-70B, Streamlit) Built a GenAI tool using Few-Shot In-Context Learning to generate personalized LinkedIn posts mimicking influencer style, tone and emoji patterns with dual language support (English/Hinglish).
View ProjectAI Financial Forecasting Agent
June 1, 2026 – Present
(Python, Gemini 2.5 Flash, NewsAPI, yFinance, Matplotlib) Built an agentic AI workflow to fetch real-time financial news, extract market sentiments and predict next-day stock prices with automated backtesting using MSE, RMSE, MAE and R2 metrics.
View ProjectCareer Guidance Chatbot
June 1, 2026 – Present
(Python, Gemini 2.5 Flash, Streamlit) Developed an AI-powered chatbot that provides 3 personalized career suggestions with resource links based on user background, skills and interests with session-based chat history.
View ProjectApplied Social Network Analysis in Python
University of Michigan
June 1, 2026 – Present
Launching into Machine Learning
Google Cloud
June 1, 2026 – Present
Applied Plotting, Charting & Data Representation in Python
University of Michigan
June 1, 2026 – Present
Prompt Engineering for ChatGPT
Vanderbilt University
June 1, 2026 – Present
Data Visualization
University of Illinois
June 1, 2026 – Present
Python for Beginners with Telusko
Udemy
June 1, 2026 – Present
AI Product Management
Duke University
June 1, 2026 – Present
Generative Adversarial Networks (GANs)
DeepLearning.AI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong interest and hands-on experience in AI, particularly Generative AI, which aligns well with an AI Engineer role. The personal projects demonstrate initiative and a passion for the field. The certifications indicate a commitment to continuous learning and skill development across various AI sub-domains. The hackathon participation suggests a collaborative and competitive spirit. The breadth of technologies used across projects and internships indicates adaptability and a willingness to explore different tools, which are positive indicators for cultural fit in a dynamic AI environment.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest a proactive approach to problem-solving and a focus on practical application of AI technologies. The diverse range of projects indicates an ability to work on different types of AI challenges. However, without direct assessment data on communication or teamwork, it's difficult to fully evaluate soft skills and operational fit beyond what's implied by project completion.