About Me
AI Engineer specializing in building intelligent systems, RAG pipelines, and modernization frameworks. Experienced in transforming enterprise workflows using LLMs, cloud-native architectures, and automation across industries like finance and telecom.
Experience
AI Engineer
Mobilelive
🧾 Financial Market Research Agent Platform
- •Led the end-to-end development of a scalable, AI-powered market research system for an enterprise fintech corp. for extracting structured financial product data (credit cards, personal loans) from 20+ dynamic bank websites with 99.3% accuracy.
- •Developed custom crawler using Crawl4AI and Playwright, integrating LLMs for adaptive content parsing handling custom JS overlays and PDF enrichment.
- •Implemented AI-based data validation using OpenAI Vision API for credit card image analysis, authenticity checks, and card scheme detection.
- •Designed and optimized PDF extraction pipelines with LibreOffice + Tesseract OCR, using LLM-assisted parsing for bank documents and fine-tuned extraction strategies.
- •Built robust data pipelines for inserting and validating data in PostgreSQL with vector extensions for semantic search and deduplication.
- •Collaborated and Architected the system with Docker and deployed across Azure environments (VM, AKS, ACR) using Bitbucket CI/CD pipelines with automated rollout and rollback procedures.
- •Integrated React-based web dashboard for authenticated users to visualize, search, and download structured reports in real time, reducing manual analysis time from 2 weeks to <1 hour.
- •Implemented modular architecture with configurable extraction strategies, caching, and rate limiting (3 concurrent requests, 3 retries, exponential backoff).
- •Achieved fully automated multi-bank scraping with parallel processing and resilience mechanisms for timeouts, broken URLs, and data anomalies, achieving >99.9% uptime.
Research & Graduate Teaching Assistant
University of Windsor
🔬 Reinforcement Learning Research
- •Conducted advanced research on applying Reinforcement Learning (RL) to stock trading, developing a graph-augmented TD3 agent that outperformed traditional RL baselines on Dow 30 data.
- •Designed a novel framework combining Node2Vec graph embeddings with RL agents, capturing inter-stock relationships and improving portfolio decision-making accuracy.
- •Achieved enhanced risk-adjusted returns and Sharpe ratio by integrating domain-specific features, technical indicators, and sector-based clustering into the trading environment.
- •Improved model interpretability and trust by applying post-hoc visualization techniques, enabling human-auditable insights into the RL agent's strategies.
AI Developer Co-op
Agriculture and Agri-Foods Canada
🌾 Powdery Mildew Detection System
- •Developed an AI-powered visual image processing system for early detection of powdery mildew disease on crops.
- •Implemented computer vision algorithms using OpenCV and deep learning models to analyze crop images with high accuracy.
- •Built automated image preprocessing pipelines to handle various lighting conditions and image qualities from field cameras.
- •Achieved 95%+ detection accuracy through data augmentation and transfer learning techniques on agricultural datasets.
- •Integrated the detection system with field monitoring equipment for real-time crop health assessment.
Education
Master of Science - MS, Computer Science - AI Specialization
University of Windsor
Grade: 93.4/100
Bachelor of Technology - BTech, Computer Science and Engineering
Vellore Institute of Technology
Grade: 8.95/10
Skills & Technologies
💻 Programming & Scripting Languages
PythonJavaJavaScript / TypeScriptSQL / NoSQLShell / BashYAML / JSON / Markdown
🧠 AI, Machine Learning & Multi-Agent Systems
LlamaIndexLangChainLangGraphLangFlowHugging FacePyTorchTensorFlowScikit-learnvLLMSentenceTransformersOLlamaLlamaParse
⚙️ Software Engineering
PythonJava (Springboot)NextJSAngularReactFastAPIFlaskPostmanJUnitPytestGit / Bitbucket / GitHubConfluenceJiraAmazon Q Developer
☁️ Cloud, MLOps & Infrastructure
Azure (ADF, Databricks, Cosmos DB, AKS, Key Vault, Logic Apps, Azure AD)AWS (S3, Lambda, SageMaker, Bedrock, DynamoDB)DockerKubernetesGitHub ActionsAzure DevOpsJenkinsTerraform
🧩 Data & Integration Systems
PostgreSQLMongoDBMySQLElasticSearchNeo4jPineconeFAISSWeaviateDatabricks
Awards
Ontario Graduate Scholarship (OGS)
Ontario Government & University of Windsor
OGS – a merit-based scholarship program for Ontario's best graduate students in all disciplines of academic study; The award is valued at $15,000. The program is jointly supported by funds provided by the Ministry of Training, College, and Universities and funds provided by the University.
Departmental Scholarship
University of Windsor
Awarded for scoring 90%+ in all graduate-level courses, valued at $4,000.