# Nikhil Kotha > AI Engineer @ Genpact | Ex-GSS Informatics | 4+ years across AI, Software Engineering, GTM, Healthcare, Telecom, and Energy | Actively looking for new opportunities Location: United States, United States Profile: https://flows.cv/nikhilkotha 🌟 AI Engineer | Software Engineer | Backend, Distributed Systems, LLMs, and GTM AI I’m Nikhil Kotha, an AI Engineer and Software Engineer with 4+ years of total experience, including 1.5 years in AI engineering and 3 years in software engineering. I build scalable systems across telecom, healthcare, and energy, with experience spanning backend engineering, distributed systems, cloud platforms, AI applications, and go-to-market automation. Currently at Genpact I work on AI-driven solutions that combine LLMs, RAG, AI agents, data pipelines, and GTM systems to improve customer engagement, sales workflows, and operational efficiency. I’ve built production systems across AWS and Azure, including voice and email AI agents, multi-agent orchestration platforms, and fine-tuned language model workflows. Previously at GSS Informatics, I developed high-performance backend systems using Rust, Java, Spring Boot, Redis, AWS, and gRPC, improving response time, throughput, reliability, and CI/CD quality. I enjoy solving complex engineering problems and turning them into measurable business impact, whether that means improving performance, automating workflows, increasing reliability, or building intelligent systems that scale. πŸ” Highlights: β€’ Built AI-powered sales and customer engagement systems using LangChain, LangGraph, RAG, Azure OpenAI, and Bedrock. β€’ Developed an AI email platform processing 10,000+ emails per batch with 99.9% uptime. β€’ Reduced response and execution time by up to 40–45% across production systems. β€’ Improved throughput by 30%, build success rate from 85% to 98%, and reduced production incidents by 25%. β€’ Built distributed systems and healthcare-focused platforms using Java, Spring Boot, Rust, PostgreSQL, Redis, React, and AWS. πŸ’‘ Core Skills: Java, Python, Rust, Spring Boot, FastAPI, AWS, Azure, Docker, Kubernetes, Redis, PostgreSQL, gRPC, Kafka, LLMs, RAG, LangChain, AI Agents, Observability, CI/CD. I’m currently seeking full-time Software Engineer and AI Engineer opportunities where I can contribute to backend platforms, distributed systems, and AI-driven products at scale. Phone: 857-701-9431 Email id: kothanikhil66@gmail.com ## Work Experience ### Artificial Intelligence Engineer @ Genpact Jan 2025 – Present | United States Project 1 * Built real-time GTM pipelines to process 250K+ visitor events/day across web and campaign channels, capturing clicks, scroll depth, dwell time, referral source, and repeat sessions, then joining those signals with CRM/account data for a unified engagement view. * Designed enrichment and lead-scoring workflows using behavioral and CRM signals to prioritize high-intent accounts, helping move qualified-lead-to-opportunity conversion into the 15%–25% benchmark range. * Automated follow-up routing, segmentation, and campaign triggers based on visitor intent, session history, and product/business rules, routing qualified inbound leads and supporting request-to-book conversion. Project 2 * Orchestrated and deployed scalable AI agents using LangChain, LangGraph, and RAG across Azure and AWS, resulting in a 25% boost in sales conversions through intelligent automation and customer interaction flows * Led the development of MVPs and POCs for AI-powered sales agents, including voice, text, and email-based interfaces, achieving a 35% increase in customer engagement * Developed a real-time voice assistant (Phone Agent) using Twilio, WebSocket, Flask, AWS Lambda, S3, DynamoDB, and Claude 3.5 Haiku via Bedrock, integrated with LangChain-backed RAG pipelines, achieving a 10% reduction in response latency Project 3 * Developed multi-agentic orchestration application with 7+ agents in production using Google ADK framework with A2A communication and LangChain, connecting with RAG, multiple MCP tools, and vLLM for inference * Trained a Text-2-SQL model using Supervised PEFT (LoRA) on 4 H-100 GPUs using PyTorch Distributed Data Parallel Technique (DDP), fine-tuned bge-large-en-v1.5 embedding model & evaluated using LLM-as-a-Judge Framework * Performed Domain Adaptive Pre-training (DAPT) & prepared pre-training and fine-tuning data to train foundational LLM on energy domain using Llama-3.1-70B as a base model on 8 H-100 GPUs and monitored performance in MLflow ### Software Engineer @ GSS INFORMATICS PRIVATE LIMITED Jan 2022 – Jan 2023 | Hyderabad β€’ Developed high-performance backend services in Rust using Tokio async runtime & gRPC, handling concurrent requests with low overhead & reducing response time by 45% β€’ Engineered multithreaded processing pipelines leveraging Rust’s ownership model, eliminating data races & preventing runtime crashes in concurrent workflows β€’ Built memory-safe caching layers with Rust & Redis, improving throughput under peak load by 30% β€’ Enhanced AWS CI/CD pipelines (CodePipeline & CodeBuild) for Rust service compilation & deployment, improving build success rate from 85% to 98% & increasing release frequency β€’ Established CloudWatch dashboards, centralized logging, & alerting for backend services, reducing production incidents by 25% while maintaining 99.9% availability ### Associate Software Engineer @ GSS INFORMATICS PRIVATE LIMITED Jan 2021 – Jan 2022 | Hyderabad β€’ Developed 8+ RESTful endpoints using Java and Spring Boot to support internal workflow management and user operations β€’ Modeled relational schemas and implemented data access with Spring Data JPA and Hibernate, writing SQL joins and filtered queries for dashboards and search features β€’ Optimized database access by introducing pagination and indexes, reducing average API response time from 2.3s to 1.4s β€’ Integrated React frontend components with Spring Boot services via REST APIs to deliver user dashboards and form submissions β€’ Deployed the application on AWS (EC2/Elastic Beanstalk), integrating RDS for persistence and S3 for file storage β€’ Implemented unit and integration tests using JUnit and Mockito and collaborated with QA during validation and release cycles ### Summer Intern @ VISAKHAPATNAM STEEL PLANT Jan 2019 – Jan 2019 | Visakhapatnam, Andhra Pradesh, India ## Education ### Master's degree Northeastern University ### Bachelor of Technology in Electrical and Electronics Engineering Mahindra University ### Senior Secondary Narayana Junior College - India ## Contact & Social - LinkedIn: https://linkedin.com/in/nikhil-kotha-201aa115b --- Source: https://flows.cv/nikhilkotha JSON Resume: https://flows.cv/nikhilkotha/resume.json Last updated: 2026-04-17