Hi, I'm Abhilash Srivastava
I specialize in building Generative AI applications with a focus on Natural Language Processing (NLP), Machine Learning, Search, and Recommender Systems.
Currently leading conversation-focused machine learning initiatives at Apollo.io, where I develop 0-to-1 sales tech products that drive revenue and innovation.
Previously delivered high-impact, consumer-facing projects at Meta, Microsoft, Yelp, and Samsung Research spanning diverse domains including Ads Integrity, Search Engines, Content Understanding, and IoT.
Check If It's True
AI-Powered Fact-Checking Platform
I'm building an intelligent fact-checking platform that combines the power of Large Language Models with human expertise to combat misinformation.
The system analyzes claims, cross-references multiple authoritative sources, and provides confidence scores with detailed explanations - helping users make informed decisions in our information-rich world.
LLM Integration
Advanced AI models for claim analysis and source verification
Human Validation
Expert annotators ensure accuracy and context understanding
Confidence Scoring
Transparent confidence metrics with authoritative source citations
🔍 Fact Check Result
Extensive scientific research has found no credible evidence that vaccines cause autism. Multiple large-scale studies have consistently shown no link between vaccines and autism spectrum disorders.
- CDC
- World Health Organization
- American Academy of Pediatrics
Professional Experience
Apollo.io
Senior ML Engineer
Aug 2023 - Present
Remote
- Conversational AI: Generate insights and build agents for Apollo using LLMs
- Email Intelligence: Improve email quality and build chat interfaces
- Enterprise Solutions: Search and recommendation systems for enterprise users
- Tech Stack: GitHub Copilot, LLMs (OpenAI, Gemini, Perplexity), Humanloop, Snowflake, Databricks, Airflow
Meta
Senior ML Engineer
Apr 2022 - Aug 2023
Bellevue, Washington
- Fraud Detection: Detecting fraud, cloaking and malicious ads using state-of-the-art ML and deep learning techniques
- Impact: Over 50k malicious accounts blocked daily and $70M saved for Facebook monthly
- Data Analysis: Analyzing large-scale user-engagement data to understand policy-violating clicks and improve model transparency
- Infrastructure: Built high-quality Hive pipelines for training data and human labeling queues
Microsoft
Software Engineer
May 2019 - Mar 2022
Bellevue, Washington
- Deep Learning: Trained the first DL model (multi-lingual) for enhancing CTR@1 using enterprise data (~4% improvement)
- Search Enhancement: Building ranker models and QU models for enterprise users in 10+ geo locations and 15+ languages
- Language Detection: Built a Language Detection model supporting 100+ languages using student-teacher distillation
- Responsible AI: Responsible AI champion for DTP (Digital Transformation Platform)
Yelp
Software Engineering Intern
Jun 2018 - Sep 2018
San Francisco Bay Area
- NER Implementation: Named Entity Recognition to improve "Popular Dishes" recommendations
- Android Development: Revamped Yelp Android app with inline text expansion and media carousel
- Performance: Android app performance improvement through GPU rendering and CPU optimization
Samsung Electronics
Senior Software Engineer
Jul 2014 - Aug 2017
Bengaluru, India
- Carmode Development: End-to-end development of Music module for Samsung Carmode Android Application
- Global Collaboration: Worked across South Korea, Germany, China, and India for successful commercialization
- Voice Integration: Assisted in enabling voice support through Samsung Voice integration
- Education Platform: Developed Screen Sharing feature for Samsung School v2.0 using Real Time Protocol
Education
UC San Diego
Master of Science (MS), Computer Science
2017 - 2019
Specialization: Artificial Intelligence and Human Computer Interaction
- Activities: Active member of the UCSD Alumni Association
- Consulting: Advanced Professional Degree Consulting Club (APDCC)
- Focus Areas: Machine Learning, Computer Vision, Natural Language Processing
Birla Institute of Technology and Science, Pilani
Bachelor of Engineering (B.E.), Computer Science
2010 - 2014
Foundation: Computer Science Engineering with focus on Software Development
- Core Studies: Data Structures, Algorithms, Software Engineering
- Programming: C++, Java, Python, Database Management
- Projects: Web Development, Android Applications, System Design
Core Skills & Technologies
- Natural Language Processing
- Machine Learning
- Generative AI & LLMs
- Deep Learning
- Search & Recommender Systems
- Fraud Detection
- Python & PyTorch
- Data Engineering
- MLOps
- Android Development
Featured Projects
Conversational AI Platform
Built end-to-end conversational AI system using LLMs for enterprise sales automation, improving lead qualification efficiency by 40%.
Multi-lingual Search Engine
Developed deep learning models for query understanding and ranking, supporting 15+ languages with significant CTR improvements.
Fraud Detection System
Implemented ML pipeline for detecting malicious ads and fraud, processing millions of ads daily and saving $70M+ monthly.
Let's Connect
Interested in AI, EdTech, or exploring innovative machine learning solutions? I'd love to hear from you.