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AI Engineer with 2+ years in AI solutions & backend systems.
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Assessing your cultural and operational fit
AI Engineer and Software Developer with 2 years of progressive experience building production-ready AI solutions, scalable backend systems, and NLP-driven applications. Proficient in Python, PHP (Laravel), Flask, and cloud platforms (GCP, AWS). Proven track record in OCR automation, speech-to-text pipelines, NLP model development, RESTful API design, and ETL engineering. Adept at delivering end-to-end AI systems that reduce manual effort and improve operational efficiency.
G H Raisoni College of Engineering and Management, Pune
B.Tech · Artificial Intelligence
N/A – June 30, 2025
Ekvira College of Science, Daryapur
HSC · Science
N/A – May 31, 2021
Pragun Services Private Limited
Software Developer
July 1, 2025 – June 1, 2026
India
Pragun Services Private Limited
Back End Developer Intern
January 1, 2025 – June 1, 2025
India
Pragun Services Private Limited
Data Analytics Intern
August 1, 2024 – December 1, 2024
India
Infosys Springboard 4.0
Artificial Intelligence Intern
March 1, 2024 – June 1, 2024
India
InvoiceIQ - Intelligent OCR & Data Entry Automation
June 25, 2026 – Present
Built a REST API that accepts invoice images and uses GCP Document AI's Invoice Processor to extract structured fields (vendor name, total amount, line items) with confidence scoring. Annotated 50+ diverse invoice documents in GCP Document AI Workbench, defining a 9-field extraction schema to fine-tune a Custom Document Extractor model. Implemented a confidence threshold (0.85) to flag low-accuracy extractions for human review and auto-populated a normalized MySQL schema reducing manual data entry to zero. Improved extraction accuracy iteratively through annotation refinement and model retraining cycles.
HealthGuardian – Disease Prediction Using NLP
June 25, 2026 – Present
Built an NLP-based disease prediction system that accepts natural language symptom input and classifies diseases as mild or severe using a trained Support Vector Classification (SVC) model. Developed an interactive Flask chatbot that delivers real-time personalized recommendations including medications, precautions, diet plans, and workout routines based on the predicted disease. Preprocessed and managed structured CSV datasets covering 100+ diseases, symptoms, precautions, and treatment data to train and validate the model. Achieved 95%+ prediction accuracy by fine-tuning the SVC model on symptom combinations from 10,000+ health records, mapping 132 symptoms across 41 disease categories. Serialized the trained model using Pickle for efficient reloading and fast inference.
View ProjectHouse Price Prediction Web Application
June 25, 2026 – Present
Developed a Flask web app for Pune residential property price prediction using a Random Forest model achieving MAE of 1.2L. Trained and benchmarked Linear Regression, Decision Tree, and Random Forest models; selected Random Forest based on lowest error on Pune housing data. Deployed a user-facing interface supporting live predictions, validated against 50+ real-world inputs and known market data.
View ProjectSmart Chatbot System with NLP & Database Integration
June 25, 2026 – Present
Built an intelligent NLP chatbot that understands user queries and generates context-aware responses using NLTK-based text processing. Integrated the chatbot with a MySQL backend to fetch dynamic records, order status, and entity details in real time, enabling data-driven conversational responses.
Master Data Management for Beginners
TCS iON, Tata Consultancy Services
June 1, 2026 – Present
Artificial Intelligence Internship 4.0 – The Art of Visual Storytelling
Infosys Springboard
June 1, 2026 – Present
Python Programming Certification
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from OCR automation to disease prediction and chatbots, indicates a broad interest in AI applications. The experience across internships and a full-time role at Pragun Services, coupled with certifications, suggests a proactive learning attitude. The target role of AI Engineer aligns well with the candidate's academic background in Artificial Intelligence and practical project experience. However, the experience is primarily in smaller-scale projects and a single company, which might limit exposure to diverse team structures and corporate cultures.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through project descriptions and experience in optimizing ETL scripts. Cross-functional collaboration and teamwork are mentioned as soft skills, aligning with operational fit for project-based roles. The candidate's experience in debugging, testing, and deployment indicates a practical, end-to-end approach to software development.