Open to opportunities

Pranav Gaikwad

@pranavgaikwad

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AI and data science engineer building ML solutions and production-ready AI applications.

India

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What I'm looking for

I’m seeking a role where I can build and deploy ML/AI systems in cloud environments, collaborate in cross-functional teams, and grow toward production-focused MLOps or engineering responsibilities.

I am an AI and data science engineer focused on building practical machine learning and cloud-deployed solutions that drive measurable outcomes. I have experience developing RL and hybrid models, RAG systems, and end-to-end applications using modern toolchains.

At IBM SkillsBuild x Edunet Foundation India, I developed and deployed an AI-powered Interview Trainer Agent on IBM Cloud using Watsonx.ai, implemented RAG with vector indexing, and designed a scalable knowledge base—improving interview preparation efficiency by 30%. I’ve also built production-ready projects including a Django web app that serves a DQN+Random Forest model and an Android app connecting farmers directly with consumers.

I bring hands-on experience with cloud services, model deployment, and full-stack integration, and I’m passionate about delivering robust, user-focused AI products that solve real-world problems.

Experience

Work history, roles, and key accomplishments

SDE Intern

Mindmerge Solutions Pvt Ltd

Dec 2025 - May 2026 (5 months)

- Developed a Media-to-Text Extraction & AI Summarization System using Django, Tesseract OCR, OpenAI Whisper,
FFmpeg, and Gemini API for processing images, PDFs, audio, and video files.
– Built AI-powered workflows with NLP-based summarization, secure authentication, & backend optimization supporting
scalable media processing.

Python Django SQL

Software Development Intern

MindMerge Solutions Pvt. Ltd.

Dec 2025 - May 2026 (5 months)

Developed a Media-to-Text extraction and AI summarization system using Django, Tesseract OCR, OpenAI Whisper, FFmpeg, and Gemini API to process images, PDFs, audio, and video. Built NLP summarization workflows and contributed to a trading decision support system using Django with real-time market integration via yfinance and KiteConnect API.

Python Django Tesseract Whisper FFMPEG Gemini API REST APIs Yfinance KiteConnect API

ML Engineer (Project)

RL-Based Mess Service Optimization

May 2025 - Nov 2025 (6 months)

Built a hybrid DQN and Random Forest solution to recommend mess dishes and predict attendance trends, deployed within a Django app and visualized predictions with Plotly to inform menu decisions.

Python Django Random Forest scikit learn data preprocessing Plotly

AI Intern

IBM SkillsBuild x Edunet Foundation India

Jul 2025 - Aug 2025 (1 month)

Developed and deployed an AI-powered Interview Trainer Agent on IBM Cloud using Watsonx.ai, improving interview preparation efficiency by 30% and implemented RAG with vector indexing for role-specific Q&A.

IBM Cloud RAG Deployment

AI Intern

IBM SkillsBuild x Edunet Foundation

Jul 2025 - Aug 2025 (1 month)

Developed and deployed an AI Interview Trainer Agent on IBM Cloud using Watsonx.ai, improving interview preparation efficiency by 30%. Implemented RAG with vector indexing for role-specific interview Q&A across 15+ job roles and built a scalable knowledge base with sub-second query response times.

RAG NLP Python APIs

Android Developer (Project)

FarmDirect App

Feb 2025 - Apr 2025 (2 months)

Developed a smart agriculture Android app connecting farmers and consumers with features for registration, inventory, real-time chat, and integrated Google Maps for location-based services.

Kotlin Android Studio Firebase Firestore Google Maps Chat Authentication