Seeking powerful springboard to launch my career that involves exploring, researching & designing innovative software-centric soltions that can be deployed to implement large scale, secure & resilient AI Systems and digital infrastructure that form the backbone for major industry sectors
Masters in Electrical and Computer Engineering @ UoW.
Successfully completed B.Tech in Electronics & Comm. Engineering (specialization in IoT & Sensors) .
Completed my Senior Secondary education (10th & 12th) .
(A). Fine-tune LLMs (GPT-X etc.) using Reinforcement Learning from Human Feedback to improve response relevance for
coding tasks by scoring base model’s response w.r.t accuracy, truthfulness etc. & writing new responses to tune
Reward Model
(B). Hands-on experience training agents via demonstration and feedback across real-world web-based workflows,
annotating step-wise actions to improve training.
As part of OneCyber BU, my role was to assist global enterprises in mitigation of their cybersecurity
vulnerabilities by taking a data-driven approach to risk measurement, governance, compliance and
reporting in order to offer actionable insights to secure their business interests. My accomplishments
involved following assignments:
(A). Developed NLP pipelines for automated threat analysis of security telemetry logs (>1 million rows)
through anomaly detection (LSTMs and Random Forest classifiers) with an F1-score around 0.9.
(B). Developed and deployed interactive dashboards (Power BI, Tableau) to visualize real-time data security
policy violations, offering actionable insights & leading to reduction in enterprise-wide cyber risks by
~25% (number of ISO 27001 controls).
Project entailed development of PRIME - a GIS Application for the O&G industry by
utilizing well-log data, it’s aggregation and perform analytics using Machine Learning.
Involved development of Code Editor, GUI, Data Visualization & Representation as graphs
leading to significantly enhanced user experience (UX).
(A). Implemented facies classification using Support Vector Machines.
(B). Coded custom ‘.LAS’ file parsers and data cleaning scripts for converting unstructured well-log data into
Pandas dataframes.
As IoT Solution data-architect of Smart-Surveillance Project implemented for a
London headquartered Security Services MNC, I worked on:
(A). Extract, Transform, Load (ETL) process to design a Python-based scalable data-transport
service for real-time video-feeds using IBM Visual Insight (IVI) Analytics Platform,
(B). Leverage Kafka, Kubernetes and Docker to build decentralized & secure data streaming Solution.
(C). Devising a Solution that included creation of raw datasets, training-&-testing of the surveillance models.
As an Analyst, my Project "Buyer Sentiment Analysis" - implemented for a global FMCG leader, involved:
(A). NLP-based analytics applied to soap-related sales data extracted from sites like Amazon & Flipkart,
(B). PowerBI as a Data Visualization tool,
(C). Project's outcome was to highlight the inherent business opportunities w.r.t. that category of soaps,
using results of Python-based Analytics engine applied on the data collected.
As a part of the MSP community, I evangelized Microsoft Azure Cloud Platform by conducting Workshops for my peers & juniors.
Led the creative content design team as Board member of the Chapter & Organized one of South India's biggest annual Tech Conference DEVSPACE.
Some of the Websites I have implemented/contributed to
Where I have collaborated with multiple people to build a website
(Click the title on each card to visit these projects)
How to reach me !