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AI Research Engineer with less than a year in Machine Learning & Generative AI
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Assessing your cultural and operational fit
AI ML aspirant skilled in Machine Learning algorithms, Generative AI, and LLM-based systems. Skilled in LangChain, RAG, and automation workflows, aiming to build intelligent, end-to-end AI solutions.
Chalapathi Institute of Technology
Bachelor's Degree · Computer Science and Engineering (AI)
August 1, 2021 – June 30, 2025
Swiftsafe
AI/ML Research Intern
March 1, 2026 – Present
India
Resume Quality Classifier
June 24, 2026 – Present
Engineered a rule-based Resume Quality Classifier using Python and Streamlit, with 90%+ keyword detection accuracy for roles like Data Scientist and Web Developer. Developed an interactive web app for resume upload, scoring, and feedback reports, boosting resume relevance by up to 70% through keyword match analysis.
Query Vault
June 24, 2026 – Present
I built an end-to-end RAG pipeline from scratch using open-source tools. It integrates semantic search and text generation to produce accurate, context-aware answers based on the uploaded documents, all running locally without cloud dependencies. The system retrieves the most relevant passages and generates concise answers citing their sources.
View ProjectHuman Safety Analysis
June 24, 2026 – Present
Developed a real-time safety detection system using ML algorithms and OpenCV. Recognizes gender, age, and hand gestures with high accuracy using pre trained models with python libraries and alerts alarms when any signal of danger appears.
View ProjectIBM AI/ML Certification
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and initiative in AI/ML, covering diverse applications from RAG pipelines to real-time safety analysis and resume classification. This breadth of interest and hands-on project experience suggests a proactive and innovative mindset, which aligns well with a research-oriented role. The ongoing internship further indicates a commitment to continuous learning and practical application of AI skills. The hackathon win also points to a competitive and collaborative spirit.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work independently on complex AI solutions. The internship at SwiftSafe implies collaboration within cross-functional teams and contribution to product development, indicating a proactive and team-oriented work attitude. However, without specific behavioral assessment data, a deeper analysis of soft skills like problem-solving under pressure or conflict resolution is not possible.