Aman Neelappa

Co-Founder

Bengaluru, Karnataka, India15 yrs 3 mos experience
Highly StableAI Enabled

Key Highlights

  • Led implementation of GenAI products at Apollo.io
  • Drove significant improvements in ML search efficiency
  • Extensive experience in production ML systems design
Stackforce AI infers this person is a Machine Learning Engineer with expertise in SaaS and AI-driven solutions.

Contact

Skills

Core Skills

Machine LearningArtificial IntelligenceDeep Learning

Other Skills

A/B testingAlgorithmsCC++Core JavaDBSCAN clustersData MiningData StructuresGenAIHuman-in-the-loop AIIndian language OCRML strategyMathematical ModelingNDCGNatural Language Understanding

About

Deep understanding of capabilities and limitations of ML for problem solving Extensive experience building the various components of production ML solutions Excellent communication skills Ability to align multiple stake-holders towards shared goal Outcome driven strategic thinking

Experience

15 yrs 3 mos
Total Experience
1 yr 8 mos
Average Tenure
1 yr
Current Experience

Self-employed

Independent Researcher

Jun 2025Present · 1 yr · Bengaluru, Karnataka, India · Remote

  • Conducting research on fairness and robustness of white-box monitoring probes
fairnessrobustnesswhite-box monitoringMachine Learning

Apollo.io

Senior Machine Learning Engineer

Jun 2022Feb 2025 · 2 yrs 8 mos · Bengaluru, Karnataka, India

  • Led the implementation and release of Apollo’s first GenAI and vector search products
  • Drove improvements in both the quality (50% NDCG boost) and efficiency (50% latency drop) for ML based search results scoring
  • Made critical improvements in observability and stability of model training pipeline which trained thousands of scoring models.
GenAIvector searchNDCGlatencyobservabilitymodel training pipeline+2

Aiaioo labs

ML Consultant

Apr 2018Jun 2022 · 4 yrs 2 mos · Bengaluru, Karnataka, India

  • Designed, implemented and managed production ML systems for clients
  • Handled and closed pre-sales and sales with multiple clients
  • Mentored and trained multiple employees in client organizations in ML theory and practice
  • Worked closely with Product leaders to get stakeholders to adopt ML solutions
production ML systemspre-salessalesmentoringstakeholder alignmentMachine Learning

Bicycleai.com

ML Researcher

Jun 2016Mar 2018 · 1 yr 9 mos

  • Designed and implemented Human-in-the-loop AI system for responding to customer support queries
  • Worked closely with the founders on ML and Product Strategy
  • Integral part of backend implementation team.
Human-in-the-loop AIcustomer supportML strategyMachine Learning

Expertrec

Software Engineer

Dec 2014May 2016 · 1 yr 5 mos · Bengaluru, Karnataka, India

  • Integral part of back-end team which built a product recommendation system
  • Designed and ran A/B tests for choosing between recommendation algorithms
  • Implemented a market-basket analysis tool for e-commerce vendor
  • Build a content recommendation engine for a real-estate company
product recommendation systemA/B testingmarket-basket analysiscontent recommendation engineMachine Learning

Firstrain

Engineering Intern

Jun 2013Dec 2013 · 6 mos

  • Implemented a tweet classification system
  • Implemented an unsupervised keyword extraction system
tweet classificationkeyword extraction

International institute of information technology

Research Assistant

May 2012Jul 2012 · 2 mos

  • Did some of the first work applying Deep Learning for Indian language OCR at IIIT Hyderabad. Work published in ICDAR 2013
Deep LearningIndian language OCR

Stanford university

Research Assistant

Jan 2012Jan 2014 · 2 yrs

  • Worked under the Environment and Energy department at Stanford University investigating the feasibility of automatic alerting systems for better construction project management. Published at CO-CREATE and CIB
automatic alerting systemsconstruction project managementMachine Learning

Bravo lucy a.s

Product Developer

Jul 2010Apr 2012 · 1 yr 9 mos

  • Core member of supply chain analytics team
  • Developed mathematical models to find optimal orders for new product introduction
  • Involved in designing and implementing from scratch the client and server side of the
  • application
supply chain analyticsmathematical modelsclient-server application

Insead business school

Research Assistant

Jan 2010Jun 2010 · 5 mos

  • Worked in Operations Research department on predicting the correlation between some
  • structural features of Open source projects and the bugs reported for them.
correlation predictionOpen source projects

Birla institute of technology and science, pilani

Research Assistant

Aug 2009Dec 2009 · 4 mos

  • Developed and implemented an algorithm to efficiently merge two sets of DBSCAN
  • clusters. Work published at International Conference on Contemporary Computing 2011.
DBSCAN clustersalgorithm development

Max planck institute for biological cybernetics

Research Assistant

May 2009Jul 2009 · 2 mos

  • Implemented a distributed version of a novel optimization algorithm using PETSc library
optimization algorithmPETSc library

Indian institute for remote sensing

Intern

May 2008Jul 2008 · 2 mos

  • Worked on preprocessing and visualizing satellite data
satellite data preprocessingvisualization

Education

Stanford University

Master of Science — Computer Science

Jan 2012Jan 2014

Birla Institute of Technology and Science, Pilani

Master of Science(Tech) — Information Systems

Jan 2006Jan 2010

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