Aman Shaikh
@Aman
AI Developer at Freedom Property Investors
Mumbai, Maharashtra, India
Experience
AI Developer
Freedom Property Investors
Architected and deployed multiple AI-driven automation systems using FastAPI, Google Cloud Run, BigQuery, N8N and LLMs integrating HubSpot, Aircall, Zoom, Slack, Gmail, and IPscape APIs to automate CRM workflows, call analytics, and strategist operations. Built Consent Line Automation with AI audio processing and transcription for 2,000+ automated calls, reducing manual verification time from 5+ minutes to under 1 minute per call. Developed production-grade systems including Build Defect Automation (AI PDF processing) and an AI SS Agent that generates meeting summaries, CRM notes, and email drafts, reducing strategist post-session work from 30–40 minutes to a few minutes. Designed scalable data pipelines including an Aircall–HubSpot–BigQuery pipeline processing 10k+ calls daily and real-time HubSpot sync workflows; optimized BigQuery and async execution to reduce infrastructure costs by 50–60%.
Senior Software Engineer
NTT Data
Reduced manual document processing time by 80% and increased data accuracy by 95% by designing and implementing an automated solution using OpenAI - GPT4 based MuleSoft IDP, Groq, Python, MuleSoft RPA, MuleSoft Anypoint, and MuleSoft Composer. Enhanced efficiency by 65% and reduced manual sync time by 80% by leveraging n8n, Microsoft Graph API, Postman, and Microsoft Azure for cloud data synchronization and automated email notifications to Org Admin. Engineered automation tools that slashed document creation time by 65% and reduced the project design phase by 30%; acknowledged with an award for significant contributions to the RPA department’s productivity.
Software Engineer
Apisero
Designed and developed multiple RESTful APIs using MuleSoft Anypoint Platform, Anypoint Cloudhub, leveraging Python, Java to drive business logic and integration workflows, and improving API performance by 30%. Developed and optimized RestAPI for Gmail-to-Salesforce integration, automating the extraction and upload of PDF files from Gmail to corresponding Salesforce opportunities, achieved an efficiency of 25-30% (from 60-62% to 85-90%).
Education
Anjuman-I-Islam Kalsekar Technical Campus, Mumbai
Bachelor Of Engineering (B.E.)
Computer Engineering
Relevant Coursework: OOPs, Machine Learning, Deep Learning, Data Structures & Algorithms(DSA), Operating Systems, DBMS(SQL, NoSQL), System Design (LLD), Natural Language Processing (NLP), SDLC(Agile), RPA, Automation