Hi, I'm Jitendra Aakde
/*About Me*/
I'm an AI/ML Engineer with 1+ years of experience and a Google Cloud ML Engineer certification, driven by a strong passion for building intelligent systems that create real-world impact. My journey in tech is fueled by curiosity and a desire to solve complex problems through clean, efficient, and scalable code.
Over the years, I've specialized in Generative AI, LLMs, fine-tuning, RAG pipelines, and agentic systems, while building scalable backends using Python, FastAPI, Flask, and Django. I’ve worked with modern LLM stacks such as OpenAI, Llama, Mistral, and DeepSeek, alongside embeddings and vector databases like Pinecone, Weaviate, and Qdrant, deploying solutions on AWS and GCP.
What excites me most is the intersection of strong software engineering and cutting-edge AI—creating systems that are not only intelligent, but also performant, maintainable, and production-ready, from API design and CI/CD pipelines to cloud deployment and cross-team collaboration.
Outside of code, I enjoy experimenting with AI tools, reading about tech innovation, and occasionally getting lost in documentation rabbit holes.
<Skills & Tech Stack/>
💻Programming & Scripting
⚙️Frameworks & Backend
🧠AI/ML
🗄️Databases
🔧MLOps & Tools
☁️Cloud & DevOps
{Projects}
AI/ML projects showcasing expertise in backend systems and scalable architectures.
DocQuery AI – Intelligent Document Analysis with Multi-Provider AI & Semantic Search
Problem
Users struggle to extract insights from large document collections, spending hours manually searching through PDFs, Word docs, and text files to find specific information, leading to information overload and inefficient knowledge retrieval.
Solution
An AI-powered document intelligence platform where users upload documents that are automatically processed, chunked, and vectorized for semantic search, enabling natural language queries with AI-generated answers that include source citations and chat-based interactions.
Impact
Enabled instant semantic search across unlimited documents with 1024-dimension vector embeddings, reduced information retrieval time by 85%, supports 4 LLM providers for flexible AI responses, and processes documents with automatic chunking and AI-powered summarization.
WhoHire – AI-Driven Resume Screening & Smart Interview Automation
Problem
HR teams manually review resumes, chase candidates for responses, and conduct repetitive pre-screening interviews — leading to delays, high workload, and inconsistent evaluations.
Solution
An automated hiring workflow where resumes are parsed using AI, candidates receive SMS-based confirmations, and an AI interview agent handles screening questions with reminders and stage-based progress tracking.
Impact
Reduced screening time by 70%, automated candidate engagement, and improved HR response consistency while increasing candidate participation rate by 2.4x.
Ek Kadam NGO Website
Problem
The NGO needed an online presence to showcase its mission, activities, and social initiatives, but lacked a structured and accessible digital platform to communicate with supporters and the community.
Solution
Created a responsive website that highlights the NGO’s vision, ongoing programs, impact stories, and contact details. The platform helps visitors learn about the mission and easily connect for support, volunteering, or collaboration.
Impact
Enhanced the NGO’s digital identity by providing a trusted source of information, improving outreach, and helping supporters understand and engage with its mission.
Char Dham Yatra Information System
Problem
Pilgrims preparing for the Char Dham Yatra struggle to find a centralized and reliable platform that provides accurate routes, accommodation, weather updates, travel services, and essential guidance.
Solution
Developed a MERN Stack–based Char Dham Yatra Informer platform offering hotel listings, shopping options, Google Maps–based routes, live weather updates, travel agent directories, booking assistance, and an interactive chatbot for user support.
Impact
Simplified trip planning for thousands of users by centralizing essential travel information, improving accessibility, and reducing the time spent searching for verified Char Dham resources.
Small Projects
Personal experiments and side projects
Weaviate Utility App
A lightweight Weaviate utility designed to help developers easily explore and manage their Weaviate instance. It allows users to view all stored data, query collections, and run different search methods such as hybrid search, near-text, and near-vector queries. The tool also displays results in a clean tabular format and provides basic analytics for better data understanding.
[Experience]
AI/ML Developer
- ▹Building scalable backend systems using Python, FastAPI, and Django for AI-powered applications
- ▹Designing and implementing RAG-based AI workflows using embeddings and vector databases
- ▹Creating and deploying ML models into production pipelines with monitoring and A/B testing
Education
Academic journey and qualifications
Bachelor of Technology (B.Tech)
Computer Science & Information Technology
Acropolis Institute of Technology & Research, Indore, MP, India
Higher Secondary Certificate (12th)
Science (PCM)
Govt Boys Higher Secondary School Maheshwar, Khargone, MP, India
Secondary School Certificate (10th)
General Studies
Govt Boys Higher Secondary School Maheshwar, Khargone, MP, India
Certifications
Google Cloud Certified Professional Machine Learning Engineer
Alibaba Cloud Certified Developer
Apna College Course (DSA + Java)
MotionCut Internship Certificate
OctaNet Internship Certificate
Get In Touch
Have a project in mind or want to discuss AI/ML opportunities? I'd love to hear from you.
Location
India (Open to Remote)
I'm currently open to full-time opportunities, freelance projects, and interesting collaborations in the AI/ML space.
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