Tanvi Sharma profile photo 1 on Tal

Tanvi Sharma

Backend Engineer building distributed systems at scale · Python · FastAPI · AWS · LeetCode Guardian (Top 0.6%)

Indore

1+ year of work experience

COM Financial Services
Nov 20254 mosFeb 2026

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
Novixpert Tech Inc.
Jun 20256 mosNov 2025

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
WolfAssistants
May 20241 yr 2 mosJun 2025

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

Sri Aurobindo Institute of Technology

Bachelor of Technology - BTech, Computer Science

Sri Aurobindo Institute of Technology

20214 yrs2025

12th, PCM

Nalanda Academy Ujjain

Join Tanvi and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

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

Tanvi Sharma - Software Engineer (Full Stack) in Indore | Tal