---
title: "Tanvi Sharma - Software Engineer (Full Stack) in Indore | Tal"
description: "Meet Tanvi Sharma, Backend Engineer building distributed systems at scale · Python · FastAPI · AWS · LeetCode Guardian (Top 0.6%) based in Indore."
image: "https://tal.club/meet/tanvi-sharma/share-image"
---

# Tanvi Sharma on Tal

## Headline

Backend Engineer building distributed systems at scale · Python · FastAPI · AWS · LeetCode Guardian \(Top 0\.6%\)

## About

I build backend systems that hold up under pressure\. Over the past two years I've shipped production\-grade infrastructure across fintech, legal tech, healthcare AI, and IoT — working across the full backend stack from database schema to cloud deployment\. What I'm good at: → Designing for failure first: idempotency keys, circuit breakers, token\-bucket rate limiting, exponential backoff → Cutting latency: query optimisation, Redis caching, indexing — reduced API response times by 35% at COM Financial → Cloud\-native infrastructure: AWS CDK, Lambda, DynamoDB, IoT Core, Cognito — provisioned pipelines ingesting real\-time data from 10\+ IoT devices at Novixpert → AI pipelines that are actually deployable: RAG, PHI redaction, LLM inference \(Groq/Llama\-3\) in clinical and legal products Selected work: · Arthik — distributed payment platform with ledger\-first architecture, <200ms p95 latency, >99\.9% success rate · Nyayik — AI legal intelligence platform with hybrid keyword \+ vector search \(RAG\) on Indian legal data · Swasth AI — voice\-first health triage for rural India, offline\-first, targeting ≥92% ASR accuracy · Aarogyam — AI clinical shift\-handover platform with multi\-agent orchestration and HIPAA\-styled PHI redaction LeetCode Guardian · Rating 2200\+ · Top 0\.6% globally · Rank 21 \(Biweekly Contest\) CodeChef 4★ · Rating 1988 · Global Rank \~1953 Stack: Python · FastAPI · Java · Spring Boot · TypeScript · Node\.js · AWS \(CDK, EC2, RDS, DynamoDB, Lambda, S3\) · PostgreSQL · Redis · Docker · Angular · React Native

## Location

Indore

## Work experience

Software Engineer \(Full Stack\) at COM Financial Services, Nov 2025 \- Feb 2026 · 4 mos, Patna, Bihar, India, Sole engineer responsible for architecting the complete platform — backend, admin panel, and frontend — for a fintech client\. · Designed and built the full backend architecture using Python \(FastAPI\) and Next\.js from the ground up · Implemented API rate limiting and authentication middleware, reducing abuse surface at scale · Optimised query performance through indexing and efficient access patterns, significantly reducing API response times · Built and documented RESTful APIs to production\-ready standards with clean separation of concerns · Collaborated directly with product and design to translate requirements into scalable technical decisions

Software Engineer – Backend / Full\-Stack \(Contract\) at Novixpert Tech Inc\., Jun 2025 \- Nov 2025 · 6 mos, Jaipur, Rajasthan, India, Built and maintained backend systems supporting 8–10 production workflows across data ingestion, AI pipelines, and user APIs\. · Automated image\-annotation pipelines in Python that reduced manual labelling from 5–6 hours to \~15 minutes for 200 images \(a 95%\+ reduction\) · Designed a complete IoT cloud architecture using AWS CDK — provisioning IAM, Cognito, DynamoDB, IoT Core, and API Gateway to ingest near\-real\-time data from 10\+ NVIDIA Jetson edge devices via secure certificates and pre\-signed S3 URLs · Dockerized and deployed a Java\-based ERP system on AWS \(EC2, RDS\-MySQL, ECR, SES\), restoring production data and enabling low\-latency access · Profiled NVIDIA edge\-device workloads, identified 3–4 CPU bottlenecks, and improved frame stability and runtime smoothness

Software Engineer Intern at WolfAssistants, May 2024 \- Jun 2025 · 1 yr 2 mos, Chennai, Tamil Nadu, India, Joined at the idea stage and helped ship a semi\-automated lead discovery platform handling thousands of leads across 100\+ countries\. · Built data extraction and processing pipelines sourcing leads from LinkedIn, Google Maps, and niche directories — cutting manual research by 60–70% · Developed backend services and APIs for AI\-assisted lead discovery and follow\-up orchestration · Shipped full\-stack features with a TypeScript backend and frontend dashboards, contributing to \~99\.9% email deliverability \(SPF/DKIM/DMARC\) · Designed semi\-automated workflows combining automation and human\-in\-the\-loop, saving users 8–10 hrs/week and boosting reply rates 3× · Contributed to multiple client products including a community/startup matching platform and Figma\-to\-production UI work

## Education

Bachelor of Technology \- BTech, Computer Science, Sri Aurobindo Institute of Technology

12th, PCM, Nalanda Academy Ujjain

[View the original profile](https://tal.club/meet/tanvi-sharma)

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