Lavish Saluja
Founder at SOMA
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolLavish Saluja is a founder and AI engineer based in San Francisco with eight years of experience building product-focused ML systems and developer tooling. He has led AI engineering projects spanning automated image experimentation for e-commerce, voice and web agents for finance and internal tooling, and fine-tuned models to improve function-calling accuracy. At CRED he worked across product and AI internal tools—shipping data-analysis agents, web-scraping automations, and features for payments and card workflows. A competitive programmer and algorithm implementer by background, he contributes optimized solutions to well-known repos and brings strong problem-solving skills from competitive coding into production systems. Currently leading SOMA, he blends hands-on engineering with product instincts to turn research-grade models into practical SDKs and integrations. Beyond the resume, he enjoys "befriending AI"—building playful but productive agents that make complex workflows feel effortless.
8 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Punjabi, English, Hindi
Stackoverflow
231reputation
28kreached
8answers
0questions
Github Skills (23)
algorithm10
algorithms10
c-language10
sieve-of-eratosthenes10
data-structure10
data-structures10
quicksort10
cpp10
cprogramming-language10
coder9
coders9
number-theory8
recursion7
tweet6
conditional-statements6
Programming languages (7)
Github contributions (5)
sahilbansal17/Competitive_Coding
Jun 2018 - Oct 2018
This repository contains some useful codes, techniques, algorithms and problem solutions helpful in Competitive Coding.
Role in this project:
Algorithm Implementer & Competitive Programmer
Algorithm Implementer & Competitive ProgrammerContributions:10 commits, 24 PRs, 12 comments in 4 months
Contributions summary:Lavish primarily contributes solutions to competitive programming problems, demonstrating a focus on algorithms and data structures. They implement solutions for problems from SPOJ and Codeforces, showcasing proficiency in areas like number theory, sorting, and implementation challenges. The contributions include code for problems like finding the nth modified Fibonacci number and adding features like priority queues and quicksort algorithms. The user also demonstrates the ability to explain and optimize algorithm implementations.
competitive-programming-algorithmshelpfulcompetitive-programming-contestsalgorithms-implementedgraph-algorithms
bedarkarpriyanka/NLP-Project-Fake-News-Detection
Aug 2019 - Feb 2025
NLP-Project-Fake-News-Detection
Contributions:2 PRs in 5 years 7 months
nlpfake-news-detectionmachine-learningfake-newsnews
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