How a Chemical engineer turned CEO of a IT company,Genomic Biologist turned Dataanalyst are ruling over MACRA

Ram Chilukuri

CHIEF EXECUTIVE OFFICER

Ram Chilukuri is one of the original co-founders of SemanticBits and currently serves as CEO. In this role, Mr. Chilukuri serves as a business and team leader, overseeing the company’s daily operations as well as short and long-term goals. He is skilled in cultivating and maintaining close industry relationships, so as to better understand the growing needs of clients and ensure his company is equipped to deliver. To date, Mr. Chilukuri has directed more than $100M in business, and has successfully managed application development projects across all phases of the software lifecycle.

Under the leadership of Mr. Chilukuri, SemanticBits has become a steadily growing and award-winning information technology company, which executes on health IT, clinical genomics, biospecimen tracking and clinical informatics projects for a wide range of government, nonprofit, and university clients, including the FDA, VA and NIH. When overseeing such endeavors, Mr. Chilukuri draws on his more than 15 years of experience to ensure the best possible results are being provided to customers and partners, and that all expectations are being met, if not exceeded.

Mr. Chilukuri’s approach to team building relies on hiring the best people for the job, regardless of their location. As such, he is able to ensure that the top talent around the country is working on SemanticBits projects for SemanticBits clients. He has full confidence in the abilities of his employees, and empowers them to execute to the best of their ability and at the top of their field. In this way, he secures SemanticBits’s reputation as an industry leader offering innovative services.

Mr. Chilukuri holds an M.S. in Computer Science from Johns Hopkins University and a B.S. in Chemical Engineering from the Indian Institute of Technology (IIT).

Ajish George

CHIEF DATA SCIENTIST

Ajish is a self-avowed data-nerd and polyglot polymath with a passion for building scalable data products from scratch, and a deep background in analytics/ML, back-end/big-data engineering, front-end/mobile development, and devops/cloud architecture. He started college at age 16, graduated from RPI with a BS at 19, then went on to found biotech startup Hocus Locus and complete his PhD by age 24. Though formally trained in genomic biology, particularly the analysis of high-throughput genome sequencing data (with 22 published papers, 6 patents, and one startup founded and funded in the field), he branched out into the ad-tech space, holding senior positions in NYC’s Silicon Alley Lumascape, and into the consulting racket, working as advisor, engineer, and scientist for early to mid-stage startups, academic concerns, and larger corporations looking to join the big-data party. He is a former political pollster, EMT, and zombie zebrafish farmer, with stats and ML expertise in topics including supervised and unsupervised classification, PGMs, HMMs, MCMC, and other Bayesian methods, survey statistics, network theory, neural nets, regression and time-series analyses, natural language processing, ontology and topic modeling, recommender systems, and applied TANSTAAFL/Free-Lunch theory.

Ajish is comfortable architecting systems from backend to front-end, utilizing high-performance APIs and microservices, deploying best-of-breed cloud services and distributed data platforms, developing ELT and real-time analytic workflows with the latest big data stacks (Hadoop, Spark, NiFi, Arrow), leveraging statistical and machine-learning libraries, or composing slick front-ends for web or mobile. He has worked with and managed teams of engineers, analysts, marketers, and researchers to create novel data products with scalable architectures, cutting edge analytic components, and bespoke visualisation and management interfaces, and thrives on deep dives into complex problems that require both creative and analytical thinking, and a knack for research, experimentation, and empirical validation.

Ajish is a member of various professional organizations including the American Statistical Association (PStat) and Association for Computing Machinery (ACM, SIGMOD), and while not herding data unicorns or catching frogs in the big-data swamp, he teaches courses in data science, genomics, and related topics as an Adjunct Professor of Data Analytics at the University of Maryland University College.