Harsh Bardhan Parmar profile photo 1 on Tal

Harsh Bardhan Parmar

Software Engineer | Backend Engineer | Python • FastAPI • AWS • PostgreSQL | Data & AI Systems

Bengaluru

6+ years of work experience

Credit Saison India
Oct 20251 yr 1 moPresent

Bengaluru

Backend, Data & AI Systems • Building production backend services and internal platforms using Python, FastAPI, PostgreSQL and AWS, with a focus on scalable APIs, asynchronous workflows and microservice integrations. • Built an AI-powered analytics platform using AWS Bedrock and DuckDB to translate natural-language queries into SQL execution plans over multi-gigabyte S3/Parquet datasets, achieving ~200–500 ms query latency through vectorized execution, projection and predicate pushdown. • Designed a self-healing Text-to-SQL workflow with LLM-based SQL error reflection, multi-turn context tracking, prompt caching and automated clarification for ambiguous queries. • Developed asynchronous BFF APIs integrating 10+ downstream services using FastAPI and Async SQLAlchemy, implementing atomic upserts, idempotency keys and hierarchy-aware RBAC. • Designed and deployed AWS-based services using ECS/Fargate, Lambda, S3, Athena, RDS and Bedrock, with Git-based CI/CD. • Built responsive internal analytics interfaces using Next.js, TypeScript, Tailwind CSS, GraphicWalker and Plotly.js.
Credit Saison India
Jun 20241 yr 5 mosOct 2025

Banglore

Backend, Data Engineering & Automation • Built serverless AWS data pipelines using Python, Pandas and awswrangler to process, partition and route multi-tenant datasets, eliminating manual data-entry workflows. • Developed automated document-processing pipelines using Python, boto3 and ElementTree to parse nested XML identity documents and process 5,000+ files daily. • Built data ingestion and synchronization workflows integrating S3, AWS Athena, Google APIs and internal systems, handling 10,000+ weekly records while preventing data misalignment and corruption. • Developed internal Slack-based automation tools enabling users to execute AWS Athena queries and access analytics through natural-language workflows, reducing ad-hoc data requests by 60%. • Built a Slack-to-Jira ticketing platform integrated with multiple Jira boards, reducing Jira licensing requirements by 40%. • Developed production data-upload workflows through Slack modals, reducing manual database ingestion time by 90%. • Worked across Python, AWS, SQL, data pipelines, REST APIs and CI/CD to automate operational workflows.
Credit Saison India
Jan 20246 mosJun 2024

Banglore

• Contributed to internal software engineering and automation initiatives using Python, AWS and SQL. • Worked on data-processing workflows and internal tools supporting operational teams. • Collaborated with engineering teams on backend development, data workflows and production automation.
180 Degrees Consulting BIT Mesra
Sep 20221 yr 4 mosDec 2023

BIT Mesra

180 Degrees Consulting BIT Mesra
May 20211 yr 4 mosAug 2022

Ranchi, Jharkhand, India

Team AVEON Racing
Oct 20202 yrsSep 2022

Ranchi, Jharkhand, India

Member in Sub-Electrical Team
GitHub
@HashBP

Harsh’s AI Stack

anthropic apis
anthropic apis
claude code
claude code
claude
claude
codex
codex
gemini
gemini
kiro
kiro

Education

Birla Institute of Technology, Mesra

Bachelor of Technology - BTech, Electrical and Electronics Engineering

Birla Institute of Technology, Mesra

20204 yrs2024
Chinmaya Vidyalaya, Bokaro Steel City

Science

Chinmaya Vidyalaya, Bokaro Steel City

20172 yrs2019

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Harsh Bardhan Parmar on Tal

Headline

Software Engineer | Backend Engineer | Python • FastAPI • AWS • PostgreSQL | Data & AI Systems

About

Software Engineer focused on backend, data and cloud systems, with hands-on experience building production applications and automation on AWS. Currently working primarily with Python, FastAPI, PostgreSQL and AWS, building backend services, microservice integrations, data pipelines and internal automation. I’ve also worked on AI-powered systems using AWS Bedrock, including a natural-language Text-to-SQL analytics platform built around DuckDB and S3/Parquet data, with query error recovery, context handling and prompt optimization. My broader interests are at the intersection of backend engineering, distributed systems, data platforms and AI/GenAI, particularly building reliable AI systems that can operate in production.

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

codex

gemini

kiro

Work experience

Software Engineer 2 at Credit Saison India, Oct 2025 - Present · 1 yr 1 mo, Bengaluru, Backend, Data & AI Systems • Building production backend services and internal platforms using Python, FastAPI, PostgreSQL and AWS, with a focus on scalable APIs, asynchronous workflows and microservice integrations. • Built an AI-powered analytics platform using AWS Bedrock and DuckDB to translate natural-language queries into SQL execution plans over multi-gigabyte S3/Parquet datasets, achieving ~200–500 ms query latency through vectorized execution, projection and predicate pushdown. • Designed a self-healing Text-to-SQL workflow with LLM-based SQL error reflection, multi-turn context tracking, prompt caching and automated clarification for ambiguous queries. • Developed asynchronous BFF APIs integrating 10+ downstream services using FastAPI and Async SQLAlchemy, implementing atomic upserts, idempotency keys and hierarchy-aware RBAC. • Designed and deployed AWS-based services using ECS/Fargate, Lambda, S3, Athena, RDS and Bedrock, with Git-based CI/CD. • Built responsive internal analytics interfaces using Next.js, TypeScript, Tailwind CSS, GraphicWalker and Plotly.js.

Software Engineer 1 at Credit Saison India, Jun 2024 - Oct 2025 · 1 yr 5 mos, Banglore, Backend, Data Engineering & Automation • Built serverless AWS data pipelines using Python, Pandas and awswrangler to process, partition and route multi-tenant datasets, eliminating manual data-entry workflows. • Developed automated document-processing pipelines using Python, boto3 and ElementTree to parse nested XML identity documents and process 5,000+ files daily. • Built data ingestion and synchronization workflows integrating S3, AWS Athena, Google APIs and internal systems, handling 10,000+ weekly records while preventing data misalignment and corruption. • Developed internal Slack-based automation tools enabling users to execute AWS Athena queries and access analytics through natural-language workflows, reducing ad-hoc data requests by 60%. • Built a Slack-to-Jira ticketing platform integrated with multiple Jira boards, reducing Jira licensing requirements by 40%. • Developed production data-upload workflows through Slack modals, reducing manual database ingestion time by 90%. • Worked across Python, AWS, SQL, data pipelines, REST APIs and CI/CD to automate operational workflows.

Software Engineer Intern at Credit Saison India, Jan 2024 - Jun 2024 · 6 mos, Banglore, • Contributed to internal software engineering and automation initiatives using Python, AWS and SQL. • Worked on data-processing workflows and internal tools supporting operational teams. • Collaborated with engineering teams on backend development, data workflows and production automation.

Technical Lead at 180 Degrees Consulting BIT Mesra, Sep 2022 - Dec 2023 · 1 yr 4 mos, BIT Mesra

Project Lead at 180 Degrees Consulting BIT Mesra, May 2021 - Aug 2022 · 1 yr 4 mos, Ranchi, Jharkhand, India

Tech Lead at Team AVEON Racing, Oct 2020 - Sep 2022 · 2 yrs, Ranchi, Jharkhand, India, Member in Sub-Electrical Team

Education

Bachelor of Technology - BTech, Electrical and Electronics Engineering, Birla Institute of Technology, Mesra

Science, Chinmaya Vidyalaya, Bokaro Steel City

Public links

github: https://github.com/HashBP

Harsh Bardhan Parmar - Software Engineer 2 in Bengaluru | Tal