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ML Engineer with 2+ years in AI/ML & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To work for my dream which provides me with many opportunities to improve my skills to learn and grow along with the organization goals.
United Institute of Technology
B.Tech · Artificial Intelligence and Data Science
August 1, 2020 – June 30, 2024
Universal Matriculation Higher Secondary School
HSC
June 1, 2019 – May 31, 2020
Universal Matriculation Higher Secondary School
SSLC
June 1, 2017 – May 31, 2018
Freelancer
Gen AI Trainer
June 1, 2024 – Present
India
InGage Technologies Private Ltd.
Data Science Intern
January 1, 2024 – April 1, 2024
Chennai, Tamil Nadu, India
Nutrient Recommendation System for Personalized Diet
January 1, 2025 – February 1, 2025
Built an AI-powered diet recommendation app leveraging CrewAI, LangChain, and Groq API (Mistral model) to provide personalized nutrition insights via Streamlit.
PDF Q&A System using LLAMA
July 1, 2024 – September 1, 2024
Developed a PDF-based Q&A system using LLaMA 3.1 (70B) and FAISS for efficient information retrieval. Users can upload PDFs and ask multiple questions based on the document's content, receiving accurate responses.
Zara - Chatbot
January 1, 2024 – April 1, 2024
Created a chatbot application with Dialogflow and FastAPI to handle orders in the pizza store.
News Research Tool using LLM
June 1, 2023 – November 1, 2023
Developed an LLM-powered News Research Tool for effortless information retrieval, enabling users to input article URLs and query insights.
Certified in Guvi for building Face Recognition using python.
Guvi
June 1, 2026 – Present
Certified in Infosys Springboard for completing MongoDB essentials.
Infosys Springboard
June 1, 2026 – Present
Certified in Infosys Springboard for completing Angular(v18) essentials.
Infosys Springboard
June 1, 2026 – Present
The candidate scored 82% on the 'Data Scientist — Artificial Intelligence' test, indicating a solid grasp of the subject matter and strong foundational knowledge in AI and data science principles.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and hands-on experience in cutting-edge AI technologies, particularly LLMs and Generative AI, which aligns well with an ML Engineer role. The diversity of projects (Q&A systems, chatbots, recommendation systems, news tools) shows a broad application of AI skills. The freelance 'Gen AI Trainer' role indicates a proactive approach to skill development and knowledge dissemination. The certifications, while varied, show a willingness to learn new technologies. The overall profile suggests a candidate who is eager to learn, apply new technologies, and contribute to innovative AI solutions.
Soft Skills & Operational Fit
The candidate's role as a 'Gen AI Trainer' suggests strong communication and pedagogical skills, which are valuable for team collaboration and knowledge sharing. The psychometric test score of 319/500 (63.8%) indicates average performance in areas like logical reasoning, work attitude, stress handling, and team collaboration, suggesting potential areas for development in operational fit.