Headline

SDE Intern @Zetheta Algorithms Pvt. Ltd. | Full Stack Developer | GSoC 2022 | Master @Codeforces | 6🌟 @Codechef | President ELITE Association | ET Campus Star top 50 | JEE Advanced Qualified

About

I am an Enthusiastic Software Developer with a strong foundation in Data Structures and Algorithms, and a growing expertise in Full-Stack development. I enjoy solving complex problems and building scalable, real-world applications that combine performance with clean design. I’m primarily a full-stack developer with hands-on experience in TypeScript, JavaScript, Node.js, Express.js, React, PostgreSQL, MongoDB, Redis, Docker, Apache Kafka, RabbitMQ, REST APIs, and AI integrations. I have solved 500+ problems on platforms such as LeetCode, GFG, Codeforces, Codechef, Hackerrank, etc. and continuously work on improving my problem-solving skills, focusing on writing efficient and optimized code. Alongside DSA, I’ve built several end-to-end projects, including a full-stack rental platform, AI-powered applications, and a Voice AI commerce system involving webhooks, backend automation, and real-time workflows. I enjoy taking an idea from 0→1, figuring out the architecture, solving problems independently, and iterating based on real-world requirements. Although my Interest lies in Areas such as Full-Stack development, Backend Development and also AI Engineering but I am open all opportunity that gives me a good Experience and learning from the already experienced ones. Currently, I am focused on strengthening my development skills and preparing for high-impact software engineering roles. Outside of tech, I am an International Chess Player, which has helped me develop strong analytical thinking, patience, and strategic decision-making skills. I am always open to learning, collaboration, and opportunities that challenge me to grow as a developer.

Location

India

AI stack

claude code

claude

cursor

grok

langchain

mcp

Work experience

SDE Intern (Backend) at Zetheta Algorithms Private Limited, Jul 2026 - Sep 2026 · 3 mos, India, • Built a production-grade Payment Orchestration Layer that intelligently routed transactions across 4 payment gateways (Razorpay, Stripe, PayU, UPI) using gateway health, latency, success rate, and cost-based routing with automatic failover within 2 seconds. • Designed a 12+ state transaction lifecycle, implementing idempotency, webhook deduplication, reconciliation, and complete audit trails to ensure reliable payment processing under gateway failures. • Developed an event-driven notification engine capable of processing 25+ financial event types and delivering notifications across 5 channels (SMS, Email, Push, WhatsApp, In-App) using asynchronous messaging architecture. • Implemented user preference management, retry with Dead Letter Queue (DLQ), delivery tracking, frequency capping, quiet hours, and personalized notification templates for scalable real-time communication. • Engineered a double-entry ledger system enforcing balanced debit-credit transactions with an immutable append-only audit trail, ensuring financial consistency and regulatory compliance. • Designed journal posting, transactional consistency, and tamper-evident audit mechanisms using immutable ledger records to provide complete financial traceability and reconciliation. • Built a production-grade KYC/AML orchestration service with a vendor abstraction layer, enabling seamless integration and interchangeability of multiple identity verification providers through a unified API. • Implemented RBI/PMLA-compliant customer verification workflows, audit logging, consent management, and automated compliance processes to support onboarding for 10,000+ customers/month while targeting KYC completion within 30 minutes.

SDE Intern (Full-Stack) at NR Engineering Works Pvt. Ltd., Nov 2025 - May 2026 · 7 mos, Raigarh, • Designed and built a full-stack workforce & compliance management platform for a 300+ worker manpower/engineering firm, architecting a 13-table relational schema (PostgreSQL + Prisma) across 13 functional modules spanning workforce, compliance, equipment, and financial operations. • Digitized 8 previously fully manual/paper-based business processes — attendance, salary, PF/ESIC, GST, safety equipment, machinery tracking, worker advances, and payments/balance sheet — into a single unified internal application. • Built a rules-based payroll engine automating PF (EPF/EPS), ESI, and advance-deduction calculations per Indian statutory wage-ceiling rules, validated with 12 unit tests covering wage-ceiling caps, contribution-period edge cases, and the wage-code allowance rule. • Designed an ELT pipeline using scheduled PostgreSQL materialized-view refreshes (via BullMQ) to transform workforce, payment, and attendance data into pre-aggregated analytics tables, powering real-time dashboards without added load on transactional queries. • Built a compliance-tracking system automating PF/ESIC and GST due-date monitoring with scheduled reminders (BullMQ), replacing fully manual deadline tracking across all statutory filings for the organization. • Implemented JWT-based stateless authentication and role-based access control across 3 distinct user roles (admin, accountant, site supervisor), with field-level encryption for sensitive worker ID-verification data (Aadhaar/PAN) and a full audit-log trail on every compliance-sensitive record. • Built equipment/machinery inventory tracking, a payments & expenses ledger, and a tender-level cost-and-margin dashboard rolling up labor, equipment, and compliance costs per project. • Independently owned the project end-to-end — requirements gathering from business stakeholders, system architecture and database design, full-stack development, deployment (Dockerized, CI/CD), and ongoing maintenance — over a 6-month internship.

Research Intern at National Institute of Technology Raipur, Jun 2023 - Nov 2023 · 6 mos, Raipur, • Conducted research on lightweight deep learning models optimized for resource-efficient drowsiness detection systems. • Optimized a lightweight MobileNetV2 architecture for edge deployment, achieving 94.03% classification accuracy while compressing model footprint by 65% (down to 8.9MB) to slash inference latency under low-resource constraints.

Research And Development Intern at Indian Institute of Technology Kharagpur, May 2023 - Aug 2023 · 4 mos, India, • This project focuses on enhancing data security in e-healthcare cloud environments using Attribute Based Encryption under AES Algorithm for secure data sharing, ensuring confidentiality and privacy of sensitive patient information. • Maintaining Data related to Patient in Encrypted form to be only viewed by Doctor(Admin) and the prescription involved in the treatment can only be viewed by Patient and the related Doctor who prescribed. • Key Transfer between the patient and Doctor take place with 100% validation and Security.

Project Intern at Google Summer of Code, Jun 2022 - Sep 2022 · 4 mos, India, • Optimized scaling and modularity for a cross-platform group travel management application, achieving a 100% decoupling of business logic from UI components by architecting a multi-layered Clean Architecture framework using Flutter and Dart. • Minimized map rendering delays and coordinate stutters during live group tracking by implementing an asynchronous real-time location-sharing pipeline powered by GraphQL Subscriptions.

Education

National Institute of Technology Raipur

Indian Institute of Technology Kharagpur

Public links

github: https://github.com/Animesht1008

leetcode: https://leetcode.com/AnimeshT1008

codeforces: https://codeforces.com/profile/AnimeshT1008

animesh-tiwari-portfolio.vercel.app: https://animesh-tiwari-portfolio.vercel.app/