AYASKANTA PARIDA

As a Senior Engineer in AI and Machine Learning, I approach complex challenges with a logical and pragmatic mindset, ensuring accountability and reliability in every solution I deliver. I am driven by a desire for mastery in my field, thriving on the autonomy to build robust and high-quality systems.

Experience

Senior Engineer – Al & Machine Learning

Nagarro · Jan 2026 – Present

Not yet confirmed

• Owned NLP-based incident routing & duplicate-incident detection across 4M+ ServiceNow & Jira tickets; fine-tuned Transformer models using Python, Pytorch, PySpark & Databricks, achieving 90%+ routing accuracy & reducing manual assignment effort by 60%.
• Engineered anomaly-detection pipelines for 30M+ operational and behavioral records to identify data-quality issues and operational anomalies using SQL, Tensorflow, PySpark, Isolation Forest, and XGBoost; reduced false-positive alerts by 55% and escalations by 18%.
• Architected a change-risk platform using LangGraph, RAG, and tool calling to assess 40K+ production changes; combined change history, dependencies, and knowledge to recommend validation checks, achieving 89% high-risk precision and reducing manual review by 48%.
• Developed an automated CVE remediation platform on AWS & Azure using LangGraph, Ansible & MCP to identify vulnerabilities, assess packages, recommend secure versions & validate fixes; added human approval before patching, reducing remediation time by 65%.
• Optimized multi-cloud LLM inference using FastAPI, MLflow, hybrid retrieval, RAG, and knowledge-base retrieval; applied LangSmith and RAGAS for evaluation and monitoring, reducing serving costs by 55% while maintaining reliability.
• Built a multilingual voice platform for L1 customer support with speech-based resolution, RAG-based knowledge retrieval, intent routing, and human-agent escalation; automated 70%+ of routine interactions and reduced response time by 45%.
• Collaborated with product, design, and engineering teams to translate customer requirements into technical solutions, contribute to architecture decisions, and deliver production-ready ML and RAG features while improving reliability, evaluation, monitoring, and performance.

Senior Engineer - AI & Machine Learning

Nagarro · Jan 2026 – Present

Not yet confirmed

• Designing and delivering production-grade AI/ML, Generative AI, and Agentic AI solutions for enterprise customers.
• My work focuses on architecting scalable AI platforms, multi-agent systems, LLM-powered applications, enterprise RAG, intelligent automation, and machine learning solutions that improve operational efficiency and business outcomes.
• Key responsibilities and contributions:
• • Architect and deploy production Agentic AI platforms for automated incident investigation, root cause analysis, and intelligent remediation using LangGraph, MCP, LlamaIndex, Kafka, FastAPI, Kubernetes, and cloud-native services.
• • Design enterprise multi-agent AI systems and autonomous cybersecurity remediation workflows using event-driven architectures, enabling near real-time vulnerability assessment and intelligent automation.
• • Develop intelligent recommendation systems and personalization solutions by combining machine learning, user behavior analytics, and semantic retrieval techniques to improve customer engagement, marketing effectiveness, and business outcomes.
• • Build enterprise document intelligence solutions using Whisper ASR, multimodal LLMs, NLP, and RAG for document processing, claim summarization, sentiment analysis, and knowledge automation.
• • Develop production ML and NLP solutions for intelligent ticket routing, priority prediction, enterprise search, and decision support using Python, PySpark, Spark SQL, Databricks, MLflow, and vector databases.
• • Engineer enterprise RAG platforms with hybrid retrieval, reranking, metadata filtering, and LLMOps practices to improve search relevance, optimize token usage, and enhance production reliability.
• • Drive technical architecture, design reviews, code quality, mentoring, and cross-functional collaboration while delivering scalable AI platforms for enterprise customers.

Machine Learning Engineer

SecureLayer7 · Nov 2023 – Dec 2025

Not yet confirmed

• Engineered real-time fraud-detection models using XGBoost, Tensorflow and Isolation Forest on behavioral and device-risk features, reducing account-takeover and registration fraud incidents by 38% and improving bot-detection precision to 94%.
• Deployed XGBoost fraud-scoring services with SHAP explainability using FastAPI, Kafka, MLflow, Docker, and Kubernetes; achieved 92% detection accuracy and prevented $67K+ in monthly fraud losses across 180K+ transactions.
• Developed an LLM-powered customer-support agent using LangChain, LlamaIndex, FastAPI, RAG, knowledge-base retrieval & tool calling, reducing response time by 45% & increasing onboarding completion by 25%.

Machine Learning Intern

SecureLayer7 · May 2023 – Nov 2023

Not yet confirmed

• Developed PyTorch-based anomaly-detection models and reusable PySpark + Kafka ETL pipelines for real-time fraud scoring across 1M+ financial transactions, reducing data preprocessing and model-training effort by 30%.