Athar Shaikh

Software Developer | Java · Python · AI

Ahmedabad, India · contact.athar.shaikh@gmail.com · +91 98751 92829

Professional Summary

Software Developer with 4 years of experience building resilient microservices, high-throughput APIs, and distributed systems using Java and Python. Specialized in enterprise platforms across FinTech, Healthcare, and Food Delivery, with hands-on production expertise developing intelligent AI agents, LangChain workflows, and RAG pipelines. Committed to clean architectural boundaries, zero-downtime reliability, and proactive observability under real traffic.

Technical Skills

  • Backend: Java, Python, Spring Boot, Spring Security, Microservices Architecture, RESTful APIs, FastAPI
  • AI / GenAI: LangChain, LangGraph, Retrieval-Augmented Generation (RAG), Prompt Engineering, LLM Integration
  • Architecture: Distributed Systems, Event-Driven Architecture, Scalable System Design
  • Data & Messaging: PostgreSQL, MySQL, Redis, Apache Kafka, RabbitMQ, Elasticsearch (ELK)
  • Cloud & Frontend: AWS (EC2, S3), Docker, CI/CD, React, Angular
  • Engineering Practices: Unit Testing, Integration Testing, Code Review, Performance Optimization, Root Cause Analysis

Professional Experience

Software Developer — Qrious Tech Team LLP

Ahmedabad, India · Jan 2025 – Present

  • Engineered scalable microservices and resilient RESTful APIs in Java and Spring Boot for high-throughput FinTech and Food Delivery applications.
  • Architected and implemented GenAI features utilizing LangChain, LangGraph, and RAG pipelines for intelligent enterprise data querying and automated workflows.
  • Conducted root-cause analysis and performance tuning for live production systems under heavy load.

Software Developer — Group Takey

Ahmedabad, India · Nov 2022 – Jan 2025

  • Designed and maintained distributed microservices for Telecom and School Management enterprise platforms.
  • Built automated outbound dialing systems, IVR routing engines, real-time agent supervision dashboards, and asynchronous messaging pipelines.
  • Collaborated directly with stakeholders to translate complex business requirements into robust backend implementations.

Featured Case Studies

1. Patient Care Management Platform (MEDHOST)

Context: Enterprise EHR & Clinical Intelligence · Client work, source confidential

Problem: Healthcare providers needed a unified system to handle complex patient records, clinical history search, and multi-step intake without manual administrative bottlenecks.

What I Built: Scalable RESTful microservices for provider profiles, EHR records, prescriptions, and medical reports. Implemented an AI assistant for natural language clinical record querying and an automated agentic intake workflow.

Key Decisions: Spring Boot microservices with distributed data modeling, robust role-based access control, and asynchronous event notifications.

Result: Streamlined provider workflows, cut intake administrative delays by ~40%, and reduced clinical record search latency from minutes to under 500ms.

2. Smart Business Ledger App

Context: FinTech · Cloud Business & Ledger Management · Client work, source confidential

Problem: Small businesses required integrated invoicing, instant payment reconciliation, and real-time financial insights without steep learning curves.

What I Built: Comprehensive ledger platform with automated invoice dispatch (Email/WhatsApp), QR code payments, multi-format financial document conversions, and a LangChain RAG assistant for conversational ledger queries.

Key Decisions: Spring Security + JWT access control, PostgreSQL transaction handling, Redis caching for active ledger balances, and LangChain RAG pipeline.

Result: Automated over 90% of recurring invoice deliveries, reduced manual bookkeeping overhead by 60%, and accelerated invoice payment cycles.

3. AutoDialer & Call Management System

Context: Connsol (Group Takey) · Telecom & Call Center Platform · Client work, source confidential

Problem: High-volume call centers struggled with manual outbound dialing inefficiencies, complex IVR routing, and lack of real-time agent supervision.

What I Built: High-throughput automated outbound dialer with time-zone-aware scheduling, answering-machine detection, intelligent inbound IVR routing, and live agent monitoring dashboards.

Key Decisions: Python/FastAPI async workers with RabbitMQ queues, PostgreSQL for call metrics, and real-time event streaming for supervisor dashboards.

Result: Boosted live agent utilization by 3.5x, sustained 1,000+ concurrent SIP channels with sub-second IVR routing transitions, and eliminated manual dialing downtime.

4. Serveunity — Where Help Meets Need

Context: Self-Conceived · Community Aid & Donation Coordination Platform · Open Platform · Full Stack & AI

Problem: A growing gap exists between donors willing to help and people in genuine need of goods/services, with traditional charity channels suffering from lack of verification, proximity mismatches, and slow fulfillment.

What I Built: End-to-end donation coordination platform connecting donors, verified NGOs, and beneficiaries for food, healthcare, education, and financial aid with trust verification and geographic proximity matching.

Key Decisions: Asynchronous microservices in Python & FastAPI, PostgreSQL + Redis caching for geospatial search, Apache Kafka for event-driven coordination, and ELK stack for observability.

Result: Achieved sub-100ms proximity query latencies, streamlined donor-to-NGO verification workflows, and ensured 100% auditable aid allocation.

Education

Bachelor of Technology (B.Tech) in Information Technology

LJ Institute of Engineering and Technology (LJIET), Ahmedabad