Rajat Bansal

Software Engineer

Bengaluru, Karnataka, India1 yr 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building high-performance, scalable systems.
Strong background in machine learning and NLP.
Proven track record in managing high-scale systems.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AdTech and Blockchain technologies.

Contact

Skills

Core Skills

JavaLarge Language Models (llm)Natural Language Processing (nlp)Machine Learning

Other Skills

Retrieval Augmented GenerationPython (Programming Language)GitAerospikeChatbot DevelopmentVector DatabasesFull-Stack DevelopmentAndroid DevelopmentBlockchainInternet of Things (IoT)Software DeploymentCompetitive ProgrammingParallel ProgrammingOrganizational ManagementOperating Systems

About

I’m a Software Engineer at Uber and a B.Tech '24 CSE graduate from IIT Mandi. I’ve worked on building high-performance, scalable systems in fast-paced, collaborative environments. At Uber, I take ownership of end-to-end tasks, ensuring high code quality and delivering features through to completion. I enjoy working in teams that value innovation, accountability, and continuous learning. Beyond backend systems, I’m also interested in machine learning and always looking for opportunities to deepen my expertise and explore emerging technologies. I'm open to collaborating on impactful projects that challenge me and drive meaningful outcomes. Thanks for stopping by—I’d love to connect!

Experience

1 yr 10 mos

Total Experience

11 mos

Average Tenure

1 yr 3 mos

Current Experience

Uber

Software Engineer

Feb 2025 – Present · 1 yr 4 mos · Bengaluru, Karnataka, India

Media.net

3 roles

Software Engineer

Promoted

Jul 2024 – Jan 2025 · 6 mos

Managed a high-scale Immediate Pattern System (100M+ requests/day) generating $70K/day and 12.5% of KBB unit revenue.
Designed and deployed a QnA-driven keyword generation system; ran A/B tests and delivered actionable insights.
Re-engineered system architecture to integrate Aerospike, reducing memory footprint by 75%, pod count by 70%, and startup time by >90%.
Ranked #1 in a month-long engineering training on client-side optimization, JS, Java, design patterns, Hadoop, Redis, DB, and Kafka.

JavaMachine Learning

Software Developer

Jan 2024 – Jul 2024 · 6 mos

Large Language Models (LLM)Retrieval Augmented Generation

Software Developer

May 2023 – Jun 2023 · 1 mo · Remote

Conducted extensive research to implement advanced keyword extraction using word embeddings, focusing on large language models like BERT and encoder models like USE.
Developed and deployed a scalable application with powerful tools such as Gunicorn, Docker, Kubernetes, and Jenkins, achieving an impressive QPM rate of up to 35k on a single GPU.
Analyzed and filtered active database keywords, optimizing revenue by isolating high RPM keywords, which had double the revenue compared to the filtered ones.
Gained invaluable experience in machine learning, software development, and thriving within a professional environment.

Natural Language Processing (NLP)Python (Programming Language)

Techie amigos

Blockchain Developer

Jan 2023 – May 2023 · 4 mos · Remote

Contributed to developing a secure and scalable blockchain infrastructure tailored for IoT devices.
Enabled secure collection, transmission, and storage of sensor data by leveraging blockchain's immutability.
Contributed to establishing a reliable framework that fosteres trust and promotes widespread adoption of IoT devices.

Machine LearningGit