GenAI / ML Engineer (M.Tech AIML @ VIT) | Enterprise AI Automation | GraphRAG | MLOps | Data Engineering
📍 Chennai, India • 🎓 M.Tech (AI & ML) • 💼 Ex-Intel Graduate Technical Intern (2025–2026)

I build production-grade AI systems that solve real business problems end-to-end — from
✅ data pipelines + evaluation → ✅ model deployment + monitoring.

I also enjoy evaluation-heavy work — carefully comparing AI outputs against references, analyzing failure modes, and improving prompt and system reliability.

• ✅ Agentic AI systems for workflow automation (LLM multi-agent orchestration)
• ✅ GraphRAG / Enterprise Search (Graph + Vector Hybrid Retrieval, Query Routing)
• ✅ Data Engineering pipelines (ETL, validation, PostgreSQL, APIs)
• ✅ Cloud-native deployments with Docker + Kubernetes
• ✅ Strong in Python, SQL, and clean backend APIs (FastAPI / Flask)

• Built an Agentic AI ticket automation system integrated with ServiceNow, deployed on Kubernetes, improving support workflow efficiency.
• Leading development of an enterprise GraphRAG platform using hybrid graph architecture, ETL pipelines, and vector search for natural language analytics.
• Published a patent on multi-agent GenAI systems with provenance logging and secure audit trails.

✅ Patent Application (Filed, 2025)
Adaptive Multi-Agent Generative AI System for Automated Legal Contract Drafting and Advisory with Provenance Logging and Secure Hardware Integration

• Multi-agent GenAI system with Meta-Controller
• Clause-level provenance logging using cryptographic signing + audit trails
• Validated on NDA drafting: 42% time reduction, 98% compliance accuracy

Languages: Python, Java, SQL, JavaScript
GenAI/LLMs: Azure OpenAI, OpenAI SDK, Prompt Engineering, RAG, GraphRAG, Agents, Embeddings, tiktoken
ML/DL: scikit-learn, CNNs, Transformers, NLP, SAR image translation
Backend: FastAPI, Flask, REST APIs, OAuth2, Uvicorn
Data: ETL, pandas, NumPy, SQLAlchemy, PostgreSQL, Neo4j
DevOps/Cloud: Docker, Kubernetes (CaaS/Rancher), GitHub Actions, Nginx Ingress, Azure, GCP
BI/Viz: Excel, Tableau, matplotlib, seaborn

This project analyzes US CPI data to build forecasting models and derive pricing strategies.

➡️ Repo: https://github.com/ashiksharonm/PricePulse--Inflation-driven-Pricing-Strategy

WaferDefectX is an end-to-end computer vision and machine learning pipeline designed for automated inspection of semiconductor wafers. It detects surface defects (scratches, particles) using a hybrid approach of classical computer vision for robust localization and machine learning for classification.

➡️ Repo: https://github.com/ashiksharonm/WaferDefectX

A production-style Mini Payments API demonstrating backend engineering fundamentals for fintech applications. Built as a learning and portfolio project.

➡️ Repo: https://github.com/ashiksharonm/MiniPaymentAPI

A fully working malloc / free / realloc / calloc implementation from scratch, built for learning and systems engineering portfolio purposes.

➡️ Repo: https://github.com/ashiksharonm/libmalloc

• 🏆 Niral Thiruvizha 2024 (Govt. of Tamil Nadu): AgroVoiceAI ranked among Top 100 teams statewide (from 500+ shortlisted) — AI-driven voice-based agricultural assistance
  🔗 https://github.com/ashiksharonm/AgroVoiceAI

• 🥇 Winner – Praestantia 2023: StockistAI (Hybrid LSTM + SVM stock trend forecasting)

• 🥇 Winner – Technoteen 2021 (LICET): DigiPass (Flutter + QR-based digital bus pass system)

• 🏆 Ashok Leyland Hackathon Finalist: IntelliRoute (AI-powered EV energy management system)

• 🎯 Organizer – Hackwarts Hackathon (Xplore 2023, LICET): Led planning, logistics, and execution

• 🏐 Sports Captain (CSE Dept., LICET) & CM Trophy Winners (VIT 2024, District Level): Led collegiate volleyball team and competed at inter-university level

📧 Email: sharonashik20@gmail.com
🔗 LinkedIn: https://linkedin.com/in/ashik-sharon-6757011b3
🐙 GitHub: https://github.com/ashiksharonm

⭐ Open to full-time roles in Data Engineering / AI Engineering / GenAI / MLOps / DevOps / Cloud Engineer.