Kameswara Sai Srikar Manda

Kameswara Sai Srikar Manda

Machine Learning Engineer & Full-Stack Developer

Graduate student at Northeastern University, with a passion for machine learning research, AI engineering, and development. From data science foundations to AI engineering, I explore cutting-edge techniques in deep learning and artificial intelligence.

About Me

Background

Master's student in Data Science, from data science to machine learning research and AI engineering. My background combines data science expertise with cutting-edge machine learning research, allowing me to bridge the gap between domain knowledge and technical innovation.

Current Focus

Graduate student at Northeastern University, working on cutting-edge medical technology research. Recently developed PENMOT: Permutation-Equivariant Networks for Multi-Object Tracking and researching scalable Gaussian Process approximation methods.

Experience

Professional journey and key achievements

Data Scientist
Launch Plan
January 2026 - Present

Data Scientist at a fintech startup building financial-planning tools. Designing and shipping the data and machine-learning layer behind the product — from data pipelines and feature engineering to predictive models that turn raw financial data into actionable planning insights. Working across the stack to take models from experimentation to production and collaborating closely with product and engineering on data-driven features.

Mentee - Quantum Winter School
Massachusetts Institute of Technology
January 2026

On-site program in Cambridge, Massachusetts. Gained hands-on experience in quantum computing using Qiskit and related tools.

Data Analyst / Full Stack Developer
Soverin
March 2024 - August 2024

Spearheaded end-to-end development of AI marketplace platform using React, FastAPI, AWS, and SQL, serving 10,000+ monthly users. Analyzed usage patterns from 1,900+ AI tools through statistical modeling, reducing user search time by 30%.

Web Content Writer and Developer
T3C
November 2023 - March 2024

Freelance role focusing on blockchain content creation and web development. Specialized in Python programming and web content writing for blockchain-related projects.

Frontend Developer
Decentraclasses
June 2023 - November 2023

Freelance frontend development for decentralized education platform. Built user interfaces using Express.js and modern web technologies for blockchain-based learning solutions.

Lead User Interface Designer
e-DAM IARE
October 2021 - July 2022

Part-time role leading UI/UX design initiatives in Hyderabad. Specialized in user interface design, visual design, and user experience optimization for digital products.

Education

Academic background

Master of Science in Data Science

Northeastern University

In Progress

Graduate program focusing on advanced data science methodologies, machine learning, and statistical analysis. Specializing in computer vision research and geometric deep learning applications.

B.Tech in Electronics and Communication Engineering

Institute of Aeronautical Engineering (IARE)

2019 - 2023

Undergraduate program in electronics and communication engineering, covering fundamentals of signal processing, embedded systems, and telecommunications. Foundation in engineering principles and technical problem-solving.

My Skills

Languages

10
Python
C++
CUDA
SQL
Java
Go
R
JavaScript
TypeScript
Bash

ML & Deep Learning

17
PyTorch
JAX
TensorFlow
Scikit-learn
NumPy
Pandas
PyTorch Geometric
DGL
Hugging Face Transformers
timm
OpenCV
Matplotlib
Seaborn
SciPy
NLTK
spaCy
Einops

LLM & Generative AI

15
LangChain
LangGraph
Hugging Face
vLLM
Ollama
LoRA
QLoRA
PEFT
Unsloth
OpenAI API
Anthropic API
AutoGen
CrewAI
MCP
DSPy

MLOps & Experiment Tracking

9
MLFlow
Weights & Biases
DVC
Ray
Airflow
LangSmith
LangFuse
Optuna
Hydra

Data & Vector Databases

12
PostgreSQL
MySQL
MongoDB
SQLite
DuckDB
Redis
Pinecone
Chroma
Weaviate
Qdrant
Milvus
Elasticsearch

Cloud Platforms

4
AWS (SageMaker, EC2, S3, Lambda, Bedrock)
GCP (Vertex AI, BigQuery)
Azure (Azure ML)
OCI

Deployment & Infrastructure

14
Docker
Kubernetes
GitHub Actions
CI/CD
FastAPI
Flask
Streamlit
Gradio
ONNX
TensorRT
Triton Inference Server
BentoML
Modal
Terraform

Monitoring & Observability

4
Datadog
AWS CloudWatch
Prometheus
Grafana

Certifications

Professional certifications and specialized training

Agentic AI: A Framework for Planning and Execution

LinkedIn Learning

AI Agents
AI Strategy
Artificial Intelligence (AI)

AWS Serverless Knowledge

AWS

AWS Serverless
Lambda
API Gateway
Cloud Services

AWS Q -Developer Knowledge

AWS

AWS Q
Developer Tools
AI Assistant
AWS Services

Oracle Cloud Infrastructure Generative AI

Oracle

OCI
Generative AI
Cloud AI
Oracle Cloud

Google Crash Course on Python

Google

Python
Data Structures
Programming

AI Security Course

Lakera

AI Security
GenAI Threats
LLM Red Teaming
AI Governance

Quantium Data Analytics Certification

Quantium

Data Analytics
Statistical Modeling
Business Analytics

Postman Certified Student Expert

Postman

API Testing
API Development
Postman

Featured Projects

A few highlights — see them all on the projects page

GitGotchi - Your Friendly Dev Companion
GitGotchi - Your Friendly Dev Companion

Published PyPI package - A Stardew Valley X Halloween-inspired terminal companion that lives in your git repository. Features pixel art companion that evolves based on coding habits, AI-generated stories, and automatic feeding through git hooks.

Python
Terminal UI
Git Hooks
Pixel Art
CLI Tool
CaseWise - AI Medical Education Chatbot
CaseWise - AI Medical Education Chatbot

Production-ready AI medical education chatbot with FastAPI backend, OpenAI GPT-4o Mini integration, JWT authentication, and MongoDB database. Features LangGraph for conversation flow management and deployed on Render with scalable architecture.

FastAPI
OpenAI GPT-4o Mini
MongoDB
LangGraph
JWT
Python
Render
PENMOT - Permutation-Equivariant Networks for Multi-Object Tracking
PENMOT - Permutation-Equivariant Networks for Multi-Object Tracking

Research project developing permutation-equivariant neural networks for multi-object tracking using MOT17 dataset. Implementing rotation-equivariant CNNs with e2cnn library for geometric deep learning applications.

PyTorch
Computer Vision
Geometric Deep Learning
e2cnn
Object Tracking
Python

Get In Touch

Let's discuss your next project or just say hello

Send a Message
I'll get back to you as soon as possible

Direct Email

Srikarmks@gmail.com