Adithya Saravu

Co-Founder

San Francisco, California, United States5 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Built high-throughput AI/ML pipelines in fintech.
  • Achieved 90% efficiency gains through automation.
  • 1st place winner at Voice AI HackSprint 2.0.
Stackforce AI infers this person is a Fintech-focused AI Engineer with expertise in high-throughput data systems.

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Skills

Core Skills

Ai ModellingEtlMachine Learning

Other Skills

Agentic AI DevelopmentGemini Flash APIsPythonmodular microservicesPython (Programming Language)Extract, Transform, Load (ETL)Google Cloud APIsMachine Learning AlgorithmsImpact EvaluationEmail Campaign ManagementFinTechEDGAR filingsHedgingCollaborative LeadershipGoogle AI Studio

About

AI-native engineer with production experience building high-throughput AI/ML pipelines in fintech, distributed ETL systems, and data-intensive microservices on GCP and AWS. Shipped async inference pipelines, STT/TTS autonomous voice agents, and sub-second latency frameworks, eliminating 1,000+ hours of manual work through automation and delivering 90%+ efficiency gains in production. Building at the intersection of software engineering, applied ML, and product design. 1st place winner at Voice AI HackSprint 2.0 in San Francisco, hosted by smallest.ai, emergent.sh, and entelligence.ai.

Experience

5 mos
Total Experience
3 mos
Average Tenure
1 mo
Current Experience

Entelligence.ai

Founding Engineer

Apr 2026Present · 1 mo · San Francisco Bay Area · On-site

  • Building...

Data requiem

Machine Learning Engineer

Apr 2025Mar 2026 · 11 mos · Austin, Texas Metropolitan Area · On-site

  • Engineered institutional-grade AI systems for unstructured SEC EDGAR filings (100k+) for equities and insider derivative activity, leveraging Gemini Flash APIs for scalable, high-throughput parsing (XML, HTML, PDF, OCR), in close collaboration with senior engineering leaders.
  • Designed and deployed modular Python microservices (with Pydantic validation), to enforce type, range, and logical integrity for extracted data—streamlining rapid debugging and enhancing downstream reliability.
  • Used a dual-pronged chunking strategy—regex-driven and VectorDB (Elastic DB, Pinecone, FAISS)—to minimize context drift and prioritize high-value filing content, validated with peer feedback, and consistently delivering sub-1s inference latency at scale.
  • Orchestrated API-driven extraction workflows, prompt engineering, and postprocessing pipelines (unit conversion, deduplication, product-specific alignment) for enterprise reliability.
  • Fine-tuned Gemini LLMs for precision extraction, achieving a 0.95 F1 score.
Agentic AI DevelopmentAI modelling

University of minnesota, technology commercialization

Software Engineer

Jun 2024Sep 2025 · 1 yr 3 mos · Greater Minneapolis-St. Paul Area · Hybrid

  • Responsible for engineering and deploying an end-to-end product/ETL pipeline for extracting, transforming, and loading license term sheets and patent filings into Salesforce. Leveraged Python for data parsing and transformation and integrated with Google Cloud APIs to manage document workflows.
  • Streamlined the process from manual operations to a single-click solution, ensuring secure data transfer, structured CSV output, and robust error handling and logging for scalable, reliable performance.
  • Contributed to direct positive productivity impact on 20 technology licensing officers, who drive revenues of over $10 million.
Python (Programming Language)Extract, Transform, Load (ETL)ETL

Capsoms ventures

Product and Engineering

Mar 2022Jul 2022 · 4 mos · Bengaluru, Karnataka, India · On-site

  • Co-developed BMail, a personalized mass emailing solution that generates automated campaigns with customized salutations and targeting.
  • Designed to help CAPSOMS Education scale outreach to large educational institutions and market its SDCFE offerings more effectively.
  • Streamlined bulk email personalization, improving engagement with prospective clients and supporting go-to-market efforts.
Machine Learning AlgorithmsImpact EvaluationMachine Learning

Education

University of Minnesota College of Science and Engineering

Bachelor of Science - BS — Computer Science

Sep 2022Dec 2025

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