About neha
GenAI Engineer with 4.9+ years of experience building and deploying production-grade AI systems on AWS and Azure. Specialized in developing Retrieval-Augmented Generation (RAG) architectures using LangChain, Pinecone, AWS Bedrock (LLaMA 2), and Snowflake Cortex for context-aware reasoning and document-grounded intelligence.Experienced in embedding pipelines, vector search, prompt engineering, hallucination mitigation, and LLM observability. Strong cloud foundation in IAM, infrastructure design, security, and scalable deployment of AI workloads,delivering enterprise-ready solutions that automate workflows and generate actionable business insights.
Key Skills
Experience
System Engineer
CurrentInfosys
* Project: Generative AI-Powered Chatbot for Field Engineers - British Telecom * Built a Retrieval-Augmented Generation (RAG) pipeline using LangChain and AWS Bedrock (LLaMA 2), leveraging * Pinecone as a vector database for semantic search and document retrieval. * Implemented document ingestion, embedding generation, and vector indexing workflows to enable context-aware * and document-grounded response generation. * Used Amazon S3 for scalable document storage and retrieval. * Mitigated hallucinations through prompt engineering, retrieval optimization, and response validation mechanisms. * Used LangSmith for performance tracing, evaluation, and observability of LLM responses. * Impact: Automated enterprise document access, reduced manual effort, and improved field engineer productivity. * Project: RCA Agent * Developed an AI-driven Root Cause Analysis (RCA) agent in Snowflake to investigate $500M+ inventory exposure * across supply chain and commercial datasets. * Designed RCA Trigger and Baseline layers using Snowflake materialized views to detect abnormal inventory risk * across SKU, distribution center, aging days, and exposure value metrics. * Leveraged Snowflake Cortex Analyst to automate hypothesis generation and evidence benchmarking against his- * torical KPIs including forecast error, conversion rate, and lifecycle lag. * Transformed raw transactional inventory and commercial data into KPI-driven analytical signals to enable hypothesis- * based RCA evaluation. * Implemented attribution modeling and automated narrative generation logic to identify key business drivers and * deliver actionable RCA insights to stakeholders
Operation Executive
Infosys
* Project: Velocity – British Telecom * Supported and optimized AWS and Azure cloud environments, ensuring 95% availability for production workloads * and critical services. * Implemented automation using scripting and CI/CD pipelines for build, deployment, and environment provisioning, * reducing manual effort by 30%. * Managed IAM roles, security groups, and cloud networking configurations to enforce secure access controls and * infrastructure governance. * Assisted in infrastructure monitoring, log analysis, and performance tuning to improve system reliability and incident * response efficiency. * Contributed to disaster recovery (DR) strategy, backup automation, and restoration validation to strengthen busi- * ness continuity and resilience. * Collaborated with development and DevOps teams to support containerized and cloud-native applications, improving deployment stability and operational scalability. * Project: Enterprise IT Infrastructure & EUC Operations * Delivered end-user computing (EUC) and remote infrastructure support to 500+ enterprise users, maintaining 99.5% * system availability across business-critical environments. * Managed the complete incident lifecycle using ServiceNow with 98% SLA adherence, ensuring timely resolution * and escalation of high-priority issues. * Supported and administered Virtual Desktop Infrastructure (VDI) and secure remote access solutions for distributed * teams. * Diagnosed and resolved network-related issues including VPN connectivity, DNS resolution, and domain authenti- * cation failures. * Managed identity and access provisioning via Active Directory (AD) and Group Policy (GPO), ensuring secure and * compliant user governance. * Assisted in endpoint security management including BitLocker encryption, compliance monitoring, and cross-team * collaboration for escalated infrastructure issues.
Education
Vidya Pratishthans College Of Engineering, M.i.d.c.road, Baramati, Dist.pune
Bachelors
Government Polytechnic
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Common Questions
What is neha's expertise?
neha specializes in LLM Engineer - Remote, with expertise in amazon web services, aws, engineering, english, generative ai.
Where is neha located?
neha is based in pune, maharashtra, india.
How much experience does neha have?
neha has 5+ years of professional experience.
How can I contact neha?
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