Generative AI Engineer with 1+ years in LLM Systems & RAG Pipelines
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AI / Generative AI Engineer with 1 year of experience designing and deploying production-grade LLM systems, multi-agent architectures, and real-time RAG pipelines. Skilled in LangChain, LangGraph, OpenAI & Groq APIs, FastAPI, and vector databases to build scalable, low-latency AI applications. Experienced in delivering cost-optimized, memory-driven agents on AWS for healthcare and SaaS automation.
Parishkar college of global excellence
Master's · Computer Applications
August 1, 2025 – Present
Parishkar college of global excellence
Bachelor's · Computer Application
August 1, 2022 – June 30, 2025
Jaipur Global Services
Data Scientist
February 1, 2026 – Present
India
Telepathy Infotech
AI/ML Engineer
July 1, 2025 – February 1, 2026
India
Regex Software Services
AI/ML & Generative AI Intern
July 1, 2025 – February 1, 2026
India
Student Helper Powered By AI
July 1, 2025 – June 1, 2026
Built an AI-driven ATS that used the Google Gemini API for skill-matching and resume scoring with 85%+ accuracy. Implemented custom logic for learning path suggestions and improvement tips based on profile data. Deployed on AWS EC2 with Docker and Designed CI/CD, reducing update time by 70%. Streamlit-based UI handled over 300+ resume evaluations with minimal latency.
View ProjectInsurance Claim Prediction
July 1, 2025 – June 1, 2026
Co-developed an insurance claim prediction model achieving 92% accuracy, contributing to data preprocessing, model training, and testing. Analyzed 5,000+ insurance records and uncovered predictive patterns across age, BMI, smoking status, and region using EDA techniques. Trained multiple models (Logistic Regression, Random Forest, XGBoost) and optimized them using GridSearchCV for best hyperparameters.
View ProjectRecruitEase
July 1, 2025 – June 1, 2026
Engineered an automated applicant tracking workflow using Google Forms, Zapier, and Gmail APIs, cutting manual HR tasks by 90%. Enabled HR to send personalized responses instantly based on form inputs, improving user engagement by 60%.
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-driven ATS to insurance claim prediction and real-estate AI calling agents, indicates adaptability and a broad interest in applying AI solutions across different domains. Their experience with both startup (Regex Software Services, Telepathy Infotech) and established (Jaipur Global Services) environments suggests flexibility. The focus on practical, deployed solutions aligns well with a results-oriented culture. However, the lack of community involvement or open-source contributions makes it harder to assess broader cultural fit beyond project work.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in optimizing AI systems and automating workflows. Their experience in designing secure access controls and optimizing performance suggests an operational mindset. However, without specific psychometric or English test scores, it's difficult to assess communication clarity, work attitude, stress handling, or team collaboration directly. The project descriptions are clear and concise, indicating good written communication.