Aaksha Meghawat Email & Phone Number

San Francisco, Ca, Us

Mountain View, California, Us

Bringing the power of Large Language Models and Generative AI to the Enterprise.

Cupertino, California, Us

􀁸 Tech Lead - Global Expansion of hyper-local Language Models (GeoLM):o DRI (Directly Responsible Individual) for developing location based speech recognition models (ASR) for the 10 largest iPhone markets servicing 3mn+ location related Siri queries dailyo Led direction, key design & pipeline implementation for 13 languages (morphological diversity), 10 countries (geographical diversity)o Featured in TechCrunch! Apple’s ML Spotlight! (Links below)􀁸 My team’s work on Knowledge Graphs for ASR was published at Interspeech 2021 (nominated for best student paper award): “A Discriminative Entity-Aware Language Model for Virtual Assistants”􀁸 Selected (1 of 24 from 10k+ Apple employees) to present graduate research at Apple ML Summit 2018,Title: “Representation Learning for Small Datasets” attended by 1000+ Apple employees (at the SteveJobs Theatre).􀁸 Tech Lead – Named Entity Analysis Toolo Developed a tool for systematically monitoring & analysing performance of ML models for highlycomplex low data languages (e.g. Italian, Korean, Russian, Turkish)o Helped surface the highest priority issues leading to >30% improvement in Named Entity ASRo Drove adoption across 10+ globally located language engineersTech: Python, Tensorflow, NLP, Distributed Computing (PySpark, Hadoop, Docker, Kubernetes), C++

Pittsburgh, Pa, Us

Pragmatics􀁸 Developed a new ML algorithm for Representation Learning in small datasets & Identity Bias mitigation.o Benchmarked on Sentiment Analysis for Youtube videos with 8-12% increase in accuracy establishing new SoTA. Published in ICME ’17 (w/ Prof. Eric Xing & LP Morency): poster, 10 min. PPT, paper􀁸 Computationally measure Openness, Alignment & Topic development in Github discussionso Developed model to predict acceptance/rejection of pull requestso Achieved F1 score of 58.04, a 65% inc. over baselineo Key Results ⬇️ 5 min. readSemantics􀁸 StackOverflow answers search & retrievalo Compared GloVe & an early version of customized ranking embeddings (StarSpace framework)o Improvement of 60% on Hits@5 and DCG@5 metricso Integrated into the NLU component of a dialog agent assisting developer productivity􀁸 Trained Bidirectional LSTM on MS COCO dataset captions for caption generation conditioned on Inception V3 image features.􀁸 Compared Autoencoder, Variational Autoencoder (VAE), Conditional VAE & Deep Boltzmann Machines to model generative distribution of handwritten digits. (code)Syntax & Morphology􀁸 Trained bidirectional RNNs to predict POS tags on Brown Corpus, 96% accuracy, reproduced SoTA.􀁸 Implemented Unlexicalized Parsing & discriminative re-ranking to learn Probabilistic Context FreeGrammar Constituency trees over Penn Treebank corpus. (code)Special Projects􀁸 Trained a bidirectional GRU encoder/decoder model for symbolic/arithmetic reasoning of addition, subtraction. Achieved a MAE of 475 over 1300 test math problems.􀁸 Experimented with Bayesian Logistic Regression to build credible intervals for odds ratios of incomehypotheses on UCI Adult dataset.􀁸 Compared Deep Deterministic Policy Gradients & Normalized Advantage Functions to teach DeepMindMuJoCo’s ‘Half-Cheetah-v1’ agent navigation of a test obstacle course by training only for walking andjumping in simpler environments. (Report: Skill Trees for Hierarchical RL)

Pittsford (Rochester), Ny, Us

 Designed ML pipelines for identification of customer issues from call centre chats & social media formajor US telecom providers, healthcare chains (~2 million chats processed monthly) Developed a sentiment analysis toolkit adopted across the company to streamline/improve textualsentiment analysis. Geospatial Network optimization for improved logistics (R, GoogleMaps API)

Jersey City, Nj, Us

Developed a unified in-house platform for mathematical and statistical analysis of large datasets (Java)

New York, Ny, Us

► Developed automation software for testing risk management applications. (Java)► The automation software was able to process and verify 11000+ test cases in 1 day covering all possible combinations of parameter values (compared to 800 test cases in 8 days previously).► Efficiency gain of 8 work days, increase in accuracy and robustness of testing

London, Gb

► Redesigned ‘Hedge Fund Management Game’, a business simulation game to train 60-100 students of the elective ‘Hedge Funds’ for the LBS MBA program ranked 1 globally. (Python, PostgreSQL, R and Django web framework)► Teaching Assistant in the course ‘Equity Investment Management’.

London, Gb

► Studied fundamentals of bonds, credit derivative swaps, credit derivative indices, specifically calibration of default probabilities, basic CDS pricing and credit curves.

► Formulated an investment thesis on a publicly-traded company and communicated the opinion through an equity research report.www.mentored-research.com

Pilani, Rajasthan, In

► Led a team of 40 people to organize the Out-of-Box Conference, a conclave of technology geeks, scientists, creative geniuses and business rebels. ► Based on the TED format► Instrumental in getting revolutionaries like Alphonse Kannanthanam, Vasu Dixit and Dr. P Namperumalsamy as speakers. ► The event was part of the international business plan competition, Conquest BITS, Pilani 2011.

Jhunjhunu, Rajasthan, In

► Led a team of 20 student athletes to participate in BOSM 2011 and won the gold cup for the best athletics team of the tournament.

Jhunjhunu, Rajasthan, In

► Prepared curriculum assignments and designed evaluation material► Assisted and supervised students in lab sessions for the course (With excellent recommendation)

Mumbai, Maharashtra, In

► Analyzed technology and business trends in the web,social media, online services and software industry and prepared articles for WATBlog readers, followers and subscribers► Conducted interviews with business and industry professionals on behalf of the company for analysis and research

► Led a team of 2 programmers to develop a suite of software programs in C++ to simulate and optimize the Turtle Trading model by Richard Dennis, enabling statistical and heuristic analysis of large amounts of financial data.

Masters, Language Technologies Institute

B.E.(Hons.) Computer Science, Masters In Mathematics

European Philosophy, Philosophy

Cisce Grade Xii, Science

Icse Grade X