AI Engineer · Ahmedabad, India
YASH MILAKBuilding production-ready GenAI systems.
A few things to know.
I'm a software engineer with experience building AI-powered applications, backend systems, REST APIs, RAG pipelines, and data-driven solutions using Python, Django, PostgreSQL, and Generative AI.
Purpose over polish.
Building systems that solve real problems — every role has been about shipping, not experimenting.
E2M Solutions
AI Engineer
Nov 2025 — Jul 2026
Ahmedabad, India
- —Designed and delivered custom AI-powered web applications for enterprise clients, including a Business Strategist Platform featuring AI-powered mind map generation, meeting-to-action-item conversion, automated client onboarding, and a context-aware proposal generation engine.
- —Engineered an AI-driven lead generation and outreach automation system using proprietary AI models, Python, and n8n to automate lead research, qualification, and personalized email generation at scale.
- —Engineered an Amazon Review Compliance & Appeal Generation Platform that scraped and analyzed 1,000-1,500 reviews, identifying policy-violating reviews with 80%+ accuracy and automatically drafting appeals, built as a secure multi-tenant RBAC SaaS with an integrated RAG-based compliance chatbot.
- —Developed AI-powered image and video generation pipelines using Veo 3 and Nano Banana Pro, and contributed to an ML-powered creative validation platform using Tesseract OCR and COCO-based object detection for safe-zone compliance.
QuantumBot Pvt. Ltd.
Python Intern
Oct 2024 — Oct 2025
Ahmedabad, India
- —Built automated data collection pipelines using Selenium and Requests, with validation and error handling, storing structured e-commerce data in MySQL.
- —Developed extraction and migration scripts moving medical vendor data from PDFs into a production PostgreSQL database, pushing parsing accuracy above 85% through several rounds of root cause analysis.
- —Designed a Python ETL pipeline reconciling 250+ financial sweep transactions across a fiscal year, with automated validation checks and Excel-based reporting for audits.
- —Implemented and trained ANN and RNN models using TensorFlow and Keras for classification and NLP tasks.
0+
Land records processed in one RAG pipeline
0%+
Policy-violation detection accuracy
0+
Financial transactions reconciled per audit cycle
0+
Production AI platforms shipped
What I bring to a build.
Languages & Backend
Python, SQL, Django Rest Framework, FastAPI, RESTful API Development
Databases
PostgreSQL, MySQL, SQLite3, Pinecone, ChromaDB, FAISS
Testing, QA & Tools
Git, Postman, Selenium, Playwright, Production debugging & RCA
Data & Automation
ETL Pipelines, Pandas, NumPy, n8n, Power BI
Frontend (Familiarity)
JavaScript, HTML/CSS, React, Next.js
Applied AI/ML
LangChain, LangGraph, Generative AI, RAG, TensorFlow, Keras, Scikit-Learn
Selected projects.
Gujarati Land Records RAG Pipeline
Processed 10,000+ Gujarati land records across Excel/CSV files, building a continuous ETL and RAG pipeline with translation, data cleaning, and source-backed English search.
Automated Financial Transaction Reconciliation
Built an ETL pipeline to process and reconcile 250+ transactions, computing running balances and generating automated discrepancy reports and audit visualizations.
Let's build something.
I'm open to AI engineering roles, freelance projects, and collaborations. If you have a problem worth solving, I'd love to hear about it.