--- title: "Abhishek Anand - Lead Software Engineer in Bengaluru | Tal" description: "Meet Abhishek Anand, Software Engineer @ Swaasta | Building Production AI Systems & Full Stack Products | Agentic AI • LLMs • AWS | Ex-LexiPitch | Ex-HealthCRAD based in Bengaluru. AI stack includes anthropic apis, hugging face, and langchain. Explore public work links including github, youtube.com..." image: "https://tal.club/meet/abhishek-anand-8/share-image" --- # Abhishek Anand on Tal ## Headline Software Engineer @ Swaasta \| Building Production AI Systems & Full Stack Products \| Agentic AI • LLMs • AWS \| Ex\-LexiPitch \| Ex\-HealthCRAD ## About Trust me, I’m a Software Engineer\. Still trying to make “Hello World” the new “abc”—now by building products that can reason, automate, and scale\. I’m a Software Engineer passionate about building AI\-native products from idea to production\. My work spans full\-stack engineering, AI systems, backend architecture, distributed systems, cloud infrastructure, and production engineering—with a focus on solving real business problems rather than building demos\. Currently, I’m a Lead Software Engineer at Swaasta, where I’m working on an AI Care Orchestrator for Swaasta’s healthcare platform and its US market expansion\. The goal is to move healthcare beyond traditional “search and book” workflows toward an AI\-orchestrated care journey\. I’m working on conversational symptom intake, structured triage, specialist matching, prescription\-driven lab and pharmacy recommendations, assistant memory, journey orchestration, and auditability\. A core principle is “AI proposes, human confirms\.” The system is designed to coordinate healthcare workflows while keeping patients and clinicians in control of important clinical, financial, booking, and ordering decisions\. Previously, I worked as a Software Engineer at LexiPitch, where I was part of the founding engineering team building an Agentic AI sales automation platform across Voice AI, WhatsApp, Email, and CRM integrations\. One of my key projects there was migrating a traditional Vector RAG architecture to a Graph\-based Memory System, enabling AI agents to reason over long\-term context and relationships rather than relying solely on similarity search\. Earlier, I worked at Swaasta as a Full Stack Engineer, where I helped build the healthcare platform across Web, Android, iOS, and backend services and led a team of three engineers\. My stack includes Python, Node\.js, TypeScript, FastAPI, Express\.js, React, Next\.js, React Native, LangChain, LangGraph, MCP, OpenAI, Gemini, Neo4j, Redis, RabbitMQ, PostgreSQL, MongoDB, AWS, Docker, Terraform, GitHub Actions, Nginx, and Grafana\. I’m particularly interested in Agentic AI, AI infrastructure, AI memory systems, Graph RAG, healthcare AI, distributed systems, developer tooling, and product engineering\. I enjoy startup environments where engineers own problems end\-to\-end—from architecture and implementation to deployment, monitoring, and continuous improvement\. Outside engineering, I’m a tea enthusiast, stage performer, and lifelong learner\. Always happy to connect with founders, engineers, and teams building ambitious products with AI\. ## Location Bengaluru ## AI stack anthropic apis hugging face langchain langfuse langgraph langsmith ## Work experience Lead Software Engineer at Swaasta, Aug 2026 \- Present · 2 mos, 45 Main Street, Edison, NJ 08837, United States, • Leading the architecture and development of an AI Care Orchestrator for Swaasta’s healthcare platform, designed to transform traditional “search and book” workflows into conversational, AI\-orchestrated care journeys\. • Building conversational symptom intake, structured triage, consultation\-type and specialist matching, with clear escalation paths for high\-severity or ambiguous cases\. • Developing AI\-driven post\-consultation workflows that interpret prescriptions and prepare ranked lab and pharmacy recommendations based on factors such as availability, price, distance, delivery time, and stock\. • Designing assistant memory and continuity across the consultation → diagnostics → prescription → pharmacy journey, reducing the need for patients to repeatedly provide the same information\. • Designing the system around a human\-in\-the\-loop model where AI proposes and prepares actions while patients and clinicians retain control over clinical, financial, booking, and ordering decisions\. • Working across AI, backend architecture, healthcare workflows, distributed systems, and cloud infrastructure to build a production\-ready foundation for Swaasta’s US market expansion\. • Designing the architecture and data foundations for future capabilities including proactive health insights, wearable integrations, and premium AI\-powered healthcare experiences\. Software Engineer at Lexipitch, Oct 2025 \- Jul 2026 · 10 mos, Gurugram, \- Built an enterprise\-grade Agentic AI sales automation platform leveraging LLMs, Voice AI, and CRM integrations to autonomously engage leads, understand customer intent, and update CRM records\. \- Designed and developed scalable AI systems using Node\.js, TypeScript, Express/NestJS, and REST APIs, powering AI agents and multi\-channel workflows \(Calls, WhatsApp, Email\)\. \- Architected the evolution from Vector RAG to a Graph\-based Memory & Context System, enabling richer customer context, relationship\-aware reasoning, and improved conversational intelligence\. \- Integrated major CRM platforms including HubSpot, Salesforce, and Zoho, enabling automated lead synchronization and AI\-driven sales workflows\. \- Developed production\-ready dashboards with Next\.js, React, and Tailwind CSS for campaign management, AI configuration, and real\-time analytics\. \- Engineered and managed AWS cloud infrastructure using Terraform, EC2, Docker, Amazon ECR, GitHub Actions \(CI/CD\), and Nginx, delivering secure, scalable, and automated deployments\. \- Implemented Auto Scaling, infrastructure as code, and centralized monitoring with Grafana, improving system reliability, observability, and operational efficiency\. Full Stack Engineer at Swaasta, Oct 2024 \- Sep 2025 · 1 yr, Bengaluru, • Developed and maintained a zero\-commission healthcare platform connecting patients with healthcare providers\. • Implemented features such as independent doctor scheduling, electronic health records, and secure payment gateways\. • Enhanced user experience through in\-app consultations and a comprehensive quotation system for price comparisons\. Full Stack Developer at HealthCRAD, Mar 2024 \- Aug 2024 · 6 mos, Patna, ● Developed React Native apps for a medical e\-commerce platform \(B2B\)\. ● Worked on frontend development, ensuring a smooth and responsive UI\. ● Optimized database queries, improving platform scalability and reducing response time by 25%\. ● Streamlined the pharmacy approval process by designing and implementing workows and admin dashboards, improving efficiency by 50% ● Developed a real\-time notication service using RabbitMQ, delivering updates via SMS and in\-app notications\. ● Built and maintained robust APIs for pharmacy and user management, serving over 10,000 active users monthly\. ## Education Bachelor of Technology \- BTech, Computer Science Engineering \( Artificial Intelligence \), Purnea College of Engineering 12th, Science, A\.L\.Y\. College Triveniganj ## Public links - github: https://github\.com/abhishekanandok - youtube\.com: https://youtube\.com/@abhishekanandok - abhishekanandok\.com: https://www\.abhishekanandok\.com/ - leetcode: https://leetcode\.com/abhishekanandok - medium: https://medium\.com/@abhishekanandok [View the original profile](https://tal.club/meet/abhishek-anand-8) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/abhishek-anand-8#person", "name": "Abhishek Anand", "url": "https://tal.club/meet/abhishek-anand-8", "image": "https://tal.club/meet/abhishek-anand-8/profile-photo.jpg", "description": "Meet Abhishek Anand, Software Engineer @ Swaasta | Building Production AI Systems & Full Stack Products | Agentic AI • LLMs • AWS | Ex-LexiPitch | Ex-HealthCRAD based in Bengaluru. AI stack includes anthropic apis, hugging face, and langchain. 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