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AI Engineer with less than a year in Python & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI Engineer with a strong foundation in Python, statistics, and machine learning, Agents. Completed hands-on projects involving data cleaning, exploratory analysis, and model building. Experienced in developing predictive Machine Learning models and automating complex workflows using No-Code platforms. Skilled in data manipulation, Generative AI integration, and technical recruitment.
Gitam University Hyderabad
B.Tech (CSE)
August 1, 2019 – June 30, 2023
Sri Chaitanya junior college Hyderabad
Intermediate
June 1, 2016 – May 31, 2018
Brahmam talent high school Hyderabad
SSC
June 1, 2015 – May 31, 2016
Webpipl Solutions
HR Recruiter Intern
March 1, 2025 – November 1, 2025
India
1STOP.AI
Machine Learning Intern
November 1, 2021 – January 1, 2022
Hyderābād, Telangana, India
AI Startup Idea Validator using CrewAI
May 1, 2026 – Present
Built a multi-agent AI startup validation platform using CrewAI, LangGraph, Tavily, and GPT-40 for automated research, competitor intelligence, and business analysis
Multi Disease Prediction using Machine Learning
May 1, 2026 – Present
The system is designed to bridge the gap between complex medical datasets and end-user accessibility. By entering standard medical parameters (like blood pressure, glucose levels, or heart rate), users can receive a preliminary screening result generated by pre-trained predictive models
Advanced-Enterprise-RAG-Multi-Source-Knowledge-Intelligence with RAG Streamlit Ilamaindex
April 1, 2026 – Present
It is a individual project done by my own interest it takes the data from pdf and answers to the relavent questions in the pdf if user questions I have used streamlit, for vector DB used Chroma DB and done this RAG Application
Job Application Project using CrewAI
April 1, 2026 – Present
It is a individual project done by my own interest multiple agents and tasks and specify to a job post that the candidate resume is appropriate or not if not it will create a own resume corrected reseume to relavent job post
Loan Approval Project On Machine Learning
March 1, 2024 – March 1, 2024
Designed a system for predicting loan eligibility, utilizing algorithms like Support Vector Machines, XG Boost, Decision Trees, and Random Forests
5G Smart Diabetes Towards Personalized Diabetes Diagnosis With BigDataClouds
December 1, 2023 – December 1, 2023
Lead a team to build an AI-based application that detects Type 2 diabetes using healthcare big data systems and personalized recommendations for exercise and diet.
View ProjectMulticlass Prediction Model For Student Grade Prediction Using Machine Learning
August 1, 2023 – August 1, 2023
Developed a machine learning model to predict student grades based on past exam data using python nd ML Models
Professional Certification in Data Science
Dr. Reddy foundation
December 1, 2023 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in AI and machine learning through a diverse portfolio of personal and professional projects. The projects cover various domains (healthcare, job applications, startup validation, loan prediction), indicating adaptability and a broad interest in applying AI solutions. The self-initiated personal projects using cutting-edge tools like CrewAI and LangGraph suggest a proactive and self-driven learning attitude, which aligns well with an innovative and fast-paced AI engineering environment. However, the lack of team-based project descriptions beyond 'Lead a team' for one project limits the assessment of collaborative cultural fit.
Soft Skills & Operational Fit
The candidate lists 'Teamwork, Adaptability, Communication, Problem Solving' as soft skills. While these are crucial, there is no direct evidence or assessment data to validate their proficiency in these areas. The HR Recruiter Intern role suggests some exposure to communication and problem-solving in a professional context, but it's not directly transferable to an AI engineering operational fit.