
AI Engineer with 1+ years in AI, Analytics, and Machine Learning.
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Assessing your cultural and operational fit
Data professional with hands-on experience in analytics, SQL, ETL pipelines, dashboards, and machine learning solutions across retail, healthcare, and agriculture domains. Proven ability to analyze large datasets, build predictive models, and develop scalable data platforms using Python, SQL, FastAPI, and BI tools. Seeking an entry-level Data Analyst, Data Engineer, or Data Scientist role to deliver data-driven insights and business impact.
Rajiv Gandhi University of Knowledge Technologies (RGUKT) – IIIT RK Valley
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2022 – June 30, 2026
Rajiv Gandhi University of Knowledge Technologies (RGUKT) – IIIT RK Valley
Pre-University Course
June 1, 2020 – May 31, 2022
AP Model School & Junior College, Ramagiri
Secondary School Certificate
June 1, 2019 – May 31, 2020
Antt AI Labs Private Limited
AI Engineer Intern
August 1, 2025 – Present
Bengaluru, Karnataka, India
IIT Tirupati
Research Intern
May 1, 2025 – July 1, 2025
Tirupati, Andhra Pradesh, India
AI-Powered Task & Knowledge Management System
June 1, 2026 – Present
Built a full-stack AI platform using FastAPI, React, MySQL, FAISS for task automation, semantic search, and workflows. Implemented JWT authentication, RBAC, document embeddings, and knowledge retrieval pipelines for secure access. Designed scalable backend services, analytics dashboards, and modular APIs for efficient enterprise operations.
AI-Powered Crop Recommendation and Smart Agricultural Advisory System
June 1, 2026 – Present
Built an AI-IoT crop advisory system using soil, weather, and investment data for optimal recommendations. Built and evaluated a Random Forest classifier for crop recommendation, leveraging soil, climate, and investment features with 85% accuracy. Deployed a Streamlit + Blynk application for real-time visualization and remote monitoring.
EEG-Based Stress Detection and Mental Workload Monitoring System
June 1, 2026 – Present
Developed a multimodal stress detection system combining EEG signals, facial behavior (blink rate, emotion, head movement) using OpenCV and questionnaire inputs. Built and trained separate models for EEG-based and facial-behavior-based stress classification using CNN and XGBoost, achieving up to 92% accuracy. Deployed the complete Flask-based system on Render for live stress visualization and automated reporting.
View ProjectConversational BI Agent – Instacart Analytics
June 1, 2026 – Present
Built an AI-powered analytics agent using GPT-4, FastAPI, Next.js, DuckDB to convert natural language queries into SQL, charts, and dashboards. Processed 32M+ rows of Instacart retail data with optimized pipelines, fast aggregations, and real-time visualizations. Implemented conversational memory, multi-step reasoning, automated insights, and KPI summaries for decision-making.
View ProjectArtificial Intelligence Fundamentals
IBM SkillsBuild
June 1, 2026 – Present
Cyber Security Fundamentals Training
MyCyberly (Cybtree)
June 1, 2026 – Present
NPTEL Applied Linear Algebra for Signal Processing, Data Analytics & ML
NPTEL
June 1, 2026 – Present
SQL Certifications
HackerRank
June 1, 2026 – Present
Introduction to Industry 4.0 and Industrial Internet of Things
NPTEL
June 1, 2026 – Present
Python for Data Science
Cognitive Class
June 1, 2026 – Present
C, C++, MySQL, DSA, MATLAB
Great Learning
June 1, 2026 – Present
Internal Smart India Hackathon 2024
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, spanning healthcare, agriculture, and retail analytics, indicates a broad interest in applying AI across different domains. Their involvement in hackathons and research suggests a collaborative and innovative spirit. The focus on practical, deployed solutions aligns well with a results-oriented culture. However, the candidate is still early in their career (experience level 1), which might require more mentorship and guidance in a senior role, but their enthusiasm for learning and applying AI is a strong cultural fit for an AI Engineer position.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, tackling complex challenges like multimodal stress detection and conversational BI agents. Their involvement in hackathons and research internships suggests a proactive and collaborative work attitude. The detailed project descriptions indicate good communication of technical concepts, though the overall resume structure could be more concise. The candidate's ability to work with various tools and technologies points to adaptability and a continuous learning mindset.