I'm a Software Engineer & AI/ML Developer with 4+ years building scalable backend systems, GenAI applications, and data pipelines. Currently at ServiceNow (New Jersey, USA), I ship production-grade LangChain/RAG systems and cloud-native microservices on AWS. I hold an MS in Data Analytics (Indiana Wesleyan University, 2025) and have an IEEE publication on ML-assisted medical diagnostics.
📍 Hillsborough, New Jersey | 🎓 MS Data Analytics — IWU 2025 | 🏢 ServiceNow (Nov 2024 – Present)
| Metric | Achievement | Stack |
|---|---|---|
| 🎫 35% faster ticket resolution | LangChain + OpenAI RAG retrieval | ServiceNow |
| 🔍 40% better search relevance | ChromaDB vector search pipelines | ServiceNow |
| 🏗️ 30% lower deployment coupling | Spring Boot microservices decomposition | ServiceNow |
| 🔐 25% fewer security QA defects | Spring Security + OAuth2 | ServiceNow |
| ⚡ 20% faster API response times | AWS EC2/S3/RDS backend optimization | ServiceNow |
| 🩺 30% lower MTTR | AWS SageMaker predictive analytics | ServiceNow |
| 🤖 30% less manual review effort | scikit-learn ML classification | Infinite Infolab |
| 📊 99%+ data accuracy | Great Expectations validation | Infinite Infolab |
Building production GenAI systems and cloud-native microservices at scale.
- Built LangChain + OpenAI RAG knowledge retrieval system → 35% faster support ticket resolution
- Designed ChromaDB vector search pipelines with text embeddings → 40% better search relevance
- Decomposed monolith into Spring Boot microservices with JPA/REST → 30% lower deployment coupling
- Secured services with Spring Security + OAuth2 → 25% fewer security QA defects
- Deployed AWS SageMaker ML models for predictive analytics → 30% lower MTTR
- Orchestrated Kafka event-driven microservices for sub-second real-time processing
- Shipped zero-downtime deployments via ArgoCD + Helm GitOps on Kubernetes
Full-stack engineering, data pipelines, and applied ML for enterprise clients.
- Delivered end-to-end Spark + Airflow ETL/ELT pipelines for analytics dashboards
- Automated business rule detection with scikit-learn ML → 30% less manual review effort
- Built Hugging Face Transformers NLP pipelines for document classification & NER
- Implemented Great Expectations data quality validation → 99%+ data accuracy
- Developed React.js frontends with REST APIs → 20% fewer UI defects
MS in Data Analytics — Indiana Wesleyan University (Apr 2025) BE — Electrical, Electronics & Communications — Saveetha School of Engineering (2022)
📄 IEEE Publication: Lung Cancer Identification System to Improve Accuracy Using Novel K-Nearest Neighbour in Comparison with Logistic Regression Algorithm IEEE Xplore — ICECONF 2023 | DOI: 10.1109/ICECONF57129.2023.10084340
Open to Senior Backend, Platform Engineering, and GenAI roles. Let's connect!
