Generative AI Engineer
Production-grade Generative AI & LLM applications, agentic workflows, and intelligent automation systems, from rapid prototyping to full deployment.
Strong foundation in
About
From mechanical systems to intelligent ones.
I'm Om Jade, a B.Tech graduate in Artificial Intelligence and Data Science from K.K. Wagh Institute of Engineering Education and Research, Nashik, graduated June 2026 with a CGPA of 9.36 out of 10.
I started in Mechanical Engineering, completing a Diploma with First Class Distinction, before discovering that the engineering problems I found most interesting weren't mechanical at all; they were intelligent. That pivot led me into AI and data science, and I haven't looked back.
I'm currently interning as an AI/ML Software Engineer at Aqeeq Technologies, where I build production-grade Generative AI systems: LLM pipelines, agentic workflows, FastAPI microservices, and AI-powered backend integrations used by real businesses and thousands of active users daily.
Selected Work
Things I've built and shipped.
Production systems, research projects, and open-source tools, each solving a concrete problem.
SmartBiz AI
Oct 2025No-Code Automated Data & BI Analytics Platform
Problem
SMEs lack technical teams to build dashboards, run data quality checks, or extract predictive insights, relying on manual spreadsheets and delayed reporting.
Solution
A full-stack BI platform with automated data quality checks, ETL preprocessing, interactive dashboards, ML-driven predictive insights, and conversational AI for natural language and voice queries.
- Adopted by 6+ businesses, reducing reporting time by 30%
- Published as a research paper (Lead Author, 2025)
- Designed the full relational database schema from scratch
CortexRAG
Contextual Reasoning RAG Chatbot
Problem
Standard LLMs hallucinate on domain-specific queries and lack grounding in proprietary or niche knowledge bases.
Solution
A Retrieval-Augmented Generation chatbot using vector databases and LangGraph orchestration, with a full pipeline: ingestion, chunking, embedding, retrieval, and response generation.
- Engineered the full RAG pipeline end to end
- High retrieval accuracy with FAISS vector indexing
IPL Performance Analytics
May 2025End-to-End Data Engineering & Analytics Pipeline
Problem
Cricket performance analysis relied on fragmented datasets and manual reporting, making it slow to surface insights across 5,000+ match records.
Solution
An end-to-end pipeline using Apache Spark on Databricks, delivering insights via Power BI dashboards and ML models for player and match performance.
- Processed and analyzed 5,000+ IPL match records
- Reduced manual reporting time by 10%
- Built interactive Power BI dashboards for stakeholders
MockMaster
Nov 2024AI-Powered Mock Interview Platform
Problem
Students preparing for technical interviews lacked realistic, role-specific practice environments with actionable feedback.
Solution
A full-stack platform simulating real-time, role-specific mock interviews with AI-generated questions and personalized feedback tailored to each role and experience level.
- Used by 15+ students, reducing interview prep cycles by 12%
- Real-time AI question generation with contextual follow-ups
CreditIQ
WIPMulti-Agent Loan Underwriting · Fintech / GenAI
A multi-agent system that automates loan underwriting: document extraction, policy-grounded eligibility checks, risk scoring, and citation-backed decisions with a human approval step.
MediFlow Analytics
WIPHealthcare Claims ETL Pipeline · Data Engineering
An automated, tested pipeline turning messy healthcare claims into analytics-ready warehouse tables for denial-rate, cost, and reimbursement analysis.
RetailGuard
WIPE-commerce Fraud Scoring · ML / MLOps
A real-time, explainable fraud-scoring model for checkout transactions, deployed with full experiment tracking and CI/CD.
Experience
Where I've worked.
Building and shipping AI systems across enterprise, research, and government internships.
AI/ML Software Engineer Intern
CurrentAqeeq Technologies · Nashik, India
- Built and shipped production-grade AI document processing pipelines, improving OCR accuracy by 41% through model optimization and advanced preprocessing
- Deployed open-source image generation models from Hugging Face on serverless GPU infrastructure (RunPod), reducing operational costs by 63%
- Engineered conversational AI voice calling pipelines, integrating ASR, TTS, speech processing, and LLM orchestration with native audio models
- Designed and deployed agentic AI workflows using LangChain, LangGraph, OpenAI, and Claude across n8n and custom-built platforms
- Built FastAPI microservices and AI-powered backend integrations serving real enterprise use cases with thousands of daily active users
Research Intern, AI & Data Analytics
Save Ancient Studies Alliance (SASA) · Remote, USA
- Designed and implemented ETL workflows using Python and SQL to extract, clean, and preprocess large unstructured historical datasets
- Built Power BI dashboards to surface KPI-driven insights for globally distributed research teams
AI Intern
All India Council for Technical Education (AICTE) · Remote
- Built MediGenie, a Generative AI healthcare symptom checker using LangChain, OpenAI, Hugging Face, and Streamlit
- Applied RAG-based conversational AI design for real-time patient interaction
Education
Where I've studied.
B.Tech, Artificial Intelligence & Data Science
K.K. Wagh Institute of Engineering Education and Research, Nashik
Affiliated to Savitribai Phule Pune University (SPPU)
Diploma, Mechanical Engineering
Guru Gobind Singh Polytechnic, Nashik
MSBTE Board
Stack
What I work with.
A full-stack toolkit spanning AI engineering, data, cloud, and software.
AI / GenAI & ML
Data Engineering
Cloud & DevOps
Data Science & Analytics
Software Engineering
Beyond the Syllabus
Life outside the codebase.
Hackathons, talks, workshops, and the community work that keeps the craft fun.
Research & Community
Published work and affiliations.
Memberships
SmartBiz AI: No-Code Conversational AI for Data and Business Intelligence with Automated Analytics
Automatic Hand Brake System
2nd International Conference on Recent Trends in Engineering Science, Technology and Management (IC-RTETM-23)
Content
Building in public, teaching what I learn.
Educational and trending tech content on AI, Generative AI, and emerging technologies, breaking down complex systems into practical insights.
Contact
Let's talk.
Open to full-time roles in Generative AI Engineering, Agentic AI, Machine Learning, and Data Science. Based in Nashik, India, remote ready.