---

About Me

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)

---

Impact Highlights

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

---

Tech Stack

Languages

Backend & Frameworks

AI / ML / GenAI

Data Engineering

Cloud & DevOps

Databases

---

Experience

ServiceNow — Software Engineer (Nov 2024 – Present | New Jersey, USA)

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

Infinite Infolab — Software Engineer (Apr 2020 – Jul 2023 | India)

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

---

Education & Research

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

---

GitHub Stats

---

Open to Senior Backend, Platform Engineering, and GenAI roles. Let's connect!