Lakshya Kumar Tangri

Software Engineer

Delhi, India3 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Stackforce AI infers this person is a Cybersecurity and Software Development expert with a focus on Big Data and Machine Learning.

Big DataMachine LearningInformation SecurityCross-platform DevelopmentSystems ProgrammingNetwork Data AnalysisVerification Methodology

Apache SparkApache DeltaSpark MLAzureEvent HubsCosmos DBADLSData ScienceCyber SecuritySpark StreamingC++JNIEmscriptenObjective COpenSSL

I do cool software stuff with cybersecurity and ML.

3 roles

Dec 2024 – Present · 1 yr 3 mos · Hyderabad, Telangana, India

- Created a configurable, loosely coupled petabyte-scale big data pipeline for real-time cyber-attack detection using Apache Spark, Apache Delta, Spark ML on Azure infrastructure using Event Hubs, Cosmos DB, ADLS,

Apache SparkApache DeltaSpark MLAzureEvent HubsCosmos DB+3

Promoted

Dec 2023 – Dec 2024 · 1 yr · Hyderabad, Telangana, India

The M365 “Vanquish” Security Engineering team monitors Microsoft datacenters, detects threats, and prevents security breaches. Our work combines Data Science, Machine Learning, and Cyber Security. Key achievements include a petabyte-scale big data pipeline for real-time cyber-attack detection, a productionized workspace for security authoring, and an infinitely scalable event processing system. We analyze host logs and use Spark streaming jobs to drive security alerting and ML model training.

Information SecurityData ScienceMachine LearningCyber SecuritySpark Streaming

May 2022 – Nov 2023 · 1 yr 6 mos · Hyderabad, Telangana, India

Cross platform library developer in C++ with focus on Systems Programming and wrappers using JNI ,Emscripten and Objective C for all plaforms like iOS,Android and JS(Web)
Worked with chromium codebase understanding GN build process to build shared library extracted from Chromium for Syncing of passwords,bookmarks,addresses across chromium
Worked with OpenSSL and Apple Security framework, CommonCrypto for Encryption based libraries with overview of basic cryptographic operations for sharing of passwords

C++JNIEmscriptenObjective COpenSSLApple Security Framework+3

May 2021 – Jul 2021 · 2 mos · Banglore

Network Data Dissector
Learnt verification methodology and infrastructure used including SystemVerilog, Riviera, Cocotb
Coded Wireshark Dissector in Lua to dissect network packets from captured data
Scripted Python package for the packets to pack, unpack and randomize fields using new library PyVSC
Created a testbench and added coverage for a module with directed and randomized tests

WiresharkLuaPythonSystemVerilogNetwork Data AnalysisVerification Methodology