Akshay Sharma

Co-Founder

San Francisco, California, United States5 yrs 9 mos experience

Key Highlights

Founder of Seer, focusing on automation for small teams.
Expert in developing machine learning solutions.
Proven track record in driving user engagement growth.

Stackforce AI infers this person is a SaaS-focused Machine Learning Engineer with strong automation expertise.

Contact

static.akshay@gmail.com LinkedIn

Skills

Core Skills

Machine Learning

Other Skills

Large Language Models (LLM)JavaC++Software DevelopmentAndroid DevelopmentConvex OptimizationSLAMOpenCV

About

Automating repetitive work for small teams — reliably, at predictable cost. Founder @ Seer (getseer.dev) · YC alumni Not accepting: recruiters, agencies, VCs

Experience

Seer.dev

Co-Founder

Jan 2026 – Present · 2 mos · Remote

Rimba

Cofounder & CTO

Jan 2025 – Dec 2025 · 11 mos · San Francisco Bay Area · On-site

Klarity

2 roles

Machine Learning Engineer II

Mar 2024 – Jan 2025 · 10 mos · San Francisco Bay Area · On-site

Machine Learning Engineer

May 2022 – Mar 2024 · 1 yr 10 mos · San Francisco Bay Area · On-site

Working on Klarity's OCR engine, embeddings vector store, and multimodal key-value extraction

Large Language Models (LLM)Machine Learning

Columbia university in the city of new york

Graduate Research Assistant

Sep 2021 – Apr 2022 · 7 mos · New York, United States

1. Teaching assistant for FINC 9340 Natural Language Processing at Columbia Business School
2. Research assistant, developed multi-modal video classification systems at SpeechLab, with Dr. Julia Hirschberg.

Rejoy health

Machine Learning Engineer

Aug 2020 – Jul 2021 · 11 mos

At Rejoy Health, I collaborated with Mobile App team, extending technical solutions including custom application development, testing and maintenance through package deployment, for clients.I also implemented internal technology strategy, defining metrics for user-facing operations, proposed application upgrades, and driving process automation.
Key Achievements:
Devised new microservices-based backend on AWS, using dockerized computer vision models.
Launched two major features in six months; ∼30% MoM growth in user engagement.

Google summer of code

Julia (NumFOCUS)

Jun 2020 – Aug 2020 · 2 mos

Designed DiffOpt.jl, a differentiable convex optimization programming package in Julia.

Goldman sachs

Summer Analyst

May 2020 – Jun 2020 · 1 mo · Bengaluru, Karnataka, India

Developed a scalable, micro-services health check server using GraphQL, Prometheus and Apache Kafka streams.
Created an internal platform to stream garnered analytics using React.JS and Spring Boot.

Prepguide

Co-Founder

Oct 2019 – Mar 2020 · 5 mos · Delhi, India

Adobe

Product Development Intern

May 2019 – Jul 2019 · 2 mos · Noida Area, India

Improved Google’s CNN-RNN architecture for classifying sketches in Photoshop.
Outperformed SketchNet (state-of-the-art, 2018) by 12% mAP on Quickdraw dataset.
Modelled a BERT API to summarize user’s art journey to a blog on Adobe Spark.
Wrote a PySpark script to query Experiences DB, ∼60x faster compared to Hadoop