Abhimanyu Sikarwar

• Designed and deployed an agentic AI reporting assistant using LangChain and LangGraph; the agent runs RAG pipelines with vector search over company invoices, reimbursements, and transaction records to answer financial queries in natural language chat, replacing manual report generation.
• Built multi-agent orchestration workflows with tool-use and memory for complex multi-step financial reasoning; applied prompt engineering techniques to improve response accuracy and reduce hallucinations in enterprise financial context.
• Architected the procure-to-pay platform on a headless Form.IO setup with role-based approval workflows, covering PO creation, vendor selection, invoice generation, and payment via credit cards and virtual accounts; delivered in 6 months against a 2-year plan, then led Mensa Brands' migration from Zoho onto it with real-time audit compliance.
• Led the corporate card platform end to end: UI automation across issuance, limits, and expense capture lifted program efficiency by 40% and cut expense management costs by 25%; fraud detection and automated risk analysis brought fraudulent transactions down 30%.
• Built corporate credit card onboarding that evaluated creditworthiness using financial data and director scores; replaced spreadsheet ops and cut onboarding time by 50%.
• Raised test coverage from 15% to 80% and reduced production bug rate by 60% by establishing code review standards and CI/CD pipelines across a cross-functional team of 5 engineers spanning frontend, backend, and QA.

• Led the UI architecture for AUSIS, an AI underwriting engine deployed at Aditya Birla Sun Life Insurance that scored insurance applications using multi-modal inputs: medical records, financial history, location-based fraud signals, and wearable health data. The Angular UI surfaced real-time model risk scores and recommendations, cutting manual underwriting time by 40% per application.
• Built Insta Insurance, a digital platform for instant term life purchase: onboarding got 60% shorter, documentation requirements dropped, policy issuance ran 75% faster, and the product reached 15,000+ customers.
• Contributed to Wipro Intelligent Underwriter, an AI risk assessment platform built in partnership with Artivatic, improving fraud detection accuracy and cutting claim processing time; the platform served 500+ users.
• Integrated a computer-vision model for vehicle damage assessment that analyzed uploaded claim videos, detected damaged parts, and predicted repair and replacement costs including labor, which sped up claims estimates and flagged duplicate or inflated claims.
• Built a vehicle insurance renewals CRM where lead management joins customer and vehicle data to automate policy renewals, NCB-based premium adjustments, and dynamic discounting.
• Led 3 frontend engineers to build a shared component library used across the AI product line; accelerated feature delivery by 35%.

• Cart abandonment hit 45% at checkout; integrated Stripe and Paytm with unified UX and error recovery flows; raised conversion by 25% and cut payment failures by 40%.
• Built the EdTerra Edventures learning platform with blogs, podcasts, quizzes, and location-based learning, which lifted student engagement by 40% and cut monthly churn from 20% to 12%.
• Site load times reached 3 seconds under traffic spikes; applied Redis caching, query tuning, and CDN; cut load time to under 1.5 seconds and tripled capacity.
• Delivered Houzzcart, a home decor e-commerce platform, in 4 months using Angular 11 and Node.js; launched on time with zero critical bugs and improved UI performance by 30%.

TypeScript · React Native · Expo · Node.js · MongoDB · MCP · Cloudflare Workers

• Built an AI orchestration platform with custom and remote MCP servers, skills, projects, and patient history memory; shipped an Android app on Google Play and a web app in six weeks.
• Wrote clinical-mcp, a TypeScript MCP server exposing 60+ tools: ICD-10/11, LOINC, and HCPCS code lookups, RxNorm drug search, drug-drug interaction checks, and 35 deterministic clinical calculators; deployed as a remote MCP server on Cloudflare Workers, usable by any MCP client.
• Designed a document-reading pipeline where a vision model transcribes photographed lab reports, ECGs, and prescriptions for a text-only chat model, with extractions cached by content hash to avoid re-billing.
• Enforced safety rules for clinical use: dose and score arithmetic goes through deterministic calculators instead of the LLM, citations come only from doctor-provided documents, and memory sits behind consent controls with an audit trail.

MCP · LangGraph · Sarvam AI · Python · WebSocket · REST APIs · LLMs

• Built agentic voice calling pipeline using Sarvam AI text-to-voice; the agent calls leads, listens to responses, and generates follow-up questions from conversation context to assess purchase intent.
• Implemented MCP-based orchestration to coordinate the calling agent, response analysis agent, and CRM update agent; each agent hands structured context to the next without human intervention.
• Designed lead scoring model that classifies leads as hot, warm, or cold based on conversation transcript analysis using LLMs; reduced manual follow-up effort by filtering out uninterested leads before reaching the sales team.

MCP · LangChain · LangGraph · OpenAI API · Claude API · Python · REST APIs

• Designed multi-agent pipeline where a diet-planning agent generates weekly meal plans from user health preferences, then a procurement agent breaks meals into ingredient lists and places orders via grocery store APIs.
• Implemented Model Context Protocol (MCP) to enable context handoff between ChatGPT and Claude agents across planning and ordering steps without losing user preference state.
• Integrated location-aware store selection and real-time inventory checks to route orders to the nearest available store, reducing fulfillment gaps.

React · TypeScript · WebSocket

• Traders needed faster access to unusual options activity; built real-time analytics dashboard with WebSocket streaming; reduced decision-making time by 35%.
• Users requested customizable views for different trading strategies; implemented advanced filtering with saveable presets; increased daily active user engagement by 45%.
• Market data was hard to visualize at scale; designed responsive S&P 500 heatmap with sector-based rendering; improved data comprehension based on user feedback.

• Formerly the Ambedkar Institute of Advanced Communication Technologies & Research (AIACTR), now NSUT East Campus, Delhi.