Ankit Bansal

Software Engineer

Jind, Haryana, India3 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved top 2% on LeetCode with 1000+ problems solved.
Developed fault-tolerant systems with 99.9% uptime.
Led multiwallet project for 100K beneficiaries.

Stackforce AI infers this person is a Software Developer with expertise in Healthcare and Fintech sectors.

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Skills

Core Skills

ApiSoftware DevelopmentQuantitative AnalysisFinancial Modeling

Other Skills

API optimizationAPI resilienceAlgorithmsAmazon DynamodbAmazon S3Apache KafkaApplication Programming Interfaces (API)BitbucketC++Cascading Style Sheets (CSS)CommunicationComplex SystemsComputer EngineeringComputer ScienceComputer Vision

About

I’m Ankit Bansal, a final-year B.Tech student at DTU and a recent Software Developer Intern at Tata 1MG, where I contributed to fault-tolerant systems and API resilience. I bring strong development skills (React, Node.js, Flask, MongoDB) and a solid CP background—1000+ LeetCode problems solved (Knight, top 2%), Codeforces Expert (1664), and CodeChef 5★ (2028). I'm actively seeking SDE roles where I can add value through both software development and algorithmic problem-solving. Please consider me for any suitable opportunities.

Experience

3 yrs 2 mos

Total Experience

9 mos

Average Tenure

9 mos

Current Experience

Ontic

Software Engineer

Sep 2025 – Present · 9 mos · Noida, Uttar Pradesh, India · On-site

Tata 1mg

Software Developer Intern

Dec 2024 – Jul 2025 · 7 mos · Gurugram, Haryana, India · On-site

Developed a fault-tolerant authentication system, achieving 99.9% uptime and reducing downtime by 30%.
Led the multiwallet project, provisioning wallets for over 100K beneficiaries, enhancing scalability and service integration.
Optimized high-traffic services, reducing API latency by 25%, resulting in improved user experience across the platform.

fault-tolerant systemsAPI resilienceauthentication systemservice integrationAPI optimizationAPI+1

Worldquant

Research Consultant

Jan 2024 – Dec 2024 · 11 mos · Remote · Remote

Developed and deployed 50+ alpha trading strategies for Mid-Frequency Trading in US equity markets using statistical techniques to identify profitable signals, contributing to competitive financial modeling and earning a top 500 rank in the International Quant Championship 2024 (USA).

alpha trading strategiesstatistical techniquesfinancial modelingQuantitative AnalysisFinancial Modeling