class AIEngineer:
def __init__(self):
self.name = "Adhil A Backer"
self.role = "AI Engineer"
self.location = "Kozhikode, Kerala, India"
self.expertise = [
"Generative AI", "Large Language Models",
"NLP", "RAG Systems", "Production ML"
]
self.achievements = {
"performance_boost": "40x faster invoice workflows",
"system_improvement": "30% throughput increase",
"accuracy_gain": "90% reduction in data errors"
}
def current_mission(self):
return "Building intelligent systems that scale"
def approach(self):
return "Architecture-first, optimization-driven, production-ready"| 🚀 Achievement | 📊 Impact |
|---|---|
| Invoice Workflow Redesign | 40x performance boost (3min → 5sec) |
| RBAC with Redis Caching | 30% system responsiveness improvement |
| Pin-code Automation | 90% reduction in manual errors |
| RAG System Architecture | Real-time predictions with confidence scoring |
🔷 AI Engineer @ Predictores.ai (Sep 2025 - Present)
Predictive Intelligence Platform (PlaaS)
Stack: Python, FastAPI, React.js, Weaviate, PostgreSQL
Achievements:
- 🧠 Built NLP engines with Bayesian trust scoring & fuzzy matching
- 🎯 Architected RAG system combining vector search + live APIs
- ⚡ Optimized async APIs with intelligent Redis cache invalidation
- 📊 Generated confidence-scored future predictions at scale🔶 Senior Software Engineer @ AcelrTech Labs (Apr 2023 - Sep 2025)
Rapidor - Salesforce Automation SaaS
Stack: Python, Go, Django, FastAPI, Vue.js, Elasticsearch, PostgreSQL
Key Contributions:
- 🤖 Led backend & AI initiatives for SaaS platform
- 🏗️ Architected Model Context Protocol (MCP) client/server
- 🚀 40x performance boost on invoice workflows (3min → 5sec)
- ⚙️ Built real-time microservices with Go + Apache Pulsar
- 🔐 Implemented RBAC with Redis caching (+30% responsiveness)
- ☁️ Migrated critical services from Azure to GCP
- 👥 Mentored junior engineers on Python best practicesPlace Order - India's First B2B Marketplace on ONDC
Stack: Python, Go, FastAPI, PostgreSQL
Achievements:
- 🇮🇳 Contributed to India's first B2B marketplace on ONDC
- 📍 Automated pin-code management (90% error reduction)
- 💳 Integrated Razorpay payment gateways
- 🔧 Developed efficient REST APIs for product management🔹 Backend Developer @ Tata Consultancy Services (Jan 2022 - Jan 2023)
Digital Financial Inclusion - State Bank of India
Stack: Java, Spring Boot, MySQL
Focus Areas:
- 📈 Performance monitoring & optimization
- 🔍 RESTful API testing & troubleshooting
- 🎯 Enterprise-grade reliability & stability|
Stock filtering system identifying Indian stocks across different zones for enhanced investment decision-making. |
High-throughput WebSocket service demonstrating real-time data streaming capabilities with Go. |
|
Multi-agent system using LangGraph and LLMs to plan, execute, review, and synthesize complex research queries. |
Currently working on exciting new projects in GenAI and distributed systems. |
| 🎓 Certificate | 🏢 Issuer | 🔗 Platform |
|---|---|---|
| Python - Programming for Everybody (Getting Started with Python) | University of Michigan | Coursera |
| Introduction to AI | IBM | Coursera |
| Generative AI: Introduction and Applications | IBM | Coursera |
| Supervised Machine Learning: Regression & Classification | DeepLearning.AI | Coursera |
| Advanced Learning Algorithms | DeepLearning.AI | Coursera |
| Unsupervised Learning, Recommenders, Reinforcement Learning | DeepLearning.AI | Coursera |
🏛️ TKM College of Engineering, Kollam
B.Tech in Mechanical Engineering (2017 - 2021)
CGPA: 8.14 (Honors) 🏆
┌─────────────────────────────────────────────────────────────┐
│ │
│ 🎯 ARCHITECTURE-FIRST THINKING │
│ Building scalable systems from the ground up │
│ │
│ ⚡ PERFORMANCE OPTIMIZATION │
│ 40x improvements through strategic redesign │
│ │
│ 🤖 PRODUCTION ML/AI │
│ End-to-end pipelines that deliver business value │
│ │
│ 🔄 FULL-STACK VERSATILITY │
│ From ML models to microservices to UI │
│ │
│ 📈 CONTINUOUS IMPROVEMENT │
│ Data-driven decisions, measurable impact │
│ │
└─────────────────────────────────────────────────────────────┘
"The best code is the code that solves real problems elegantly,
scales effortlessly, and makes other developers' lives easier."
Current Focus: Building intelligent systems that combine the power of LLMs with robust engineering practices
Always Learning: AI/ML advancements, system architecture patterns, performance optimization techniques
Open to: Collaboration, knowledge sharing, and challenging projects in AI/ML domain
Looking for collaboration on AI/ML projects or just want to chat about tech?
📍 Based in Kozhikode, Kerala, India
🌐 Open to Remote Opportunities Worldwide